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Contact
Prof. Dr. Heinrich H. Bülthoff |
| Address: | Spemannstr. 38 72076 Tübingen |
| Room number: | 107 |
| Phone: | +49 7071 601 601 |
| Fax: | +49 7071 601 616 |
| E-Mail: |  heinrich.buelthoff |
The superior performance of natural over artificial
intelligence rests on the ability of the human brain to integrate and
process complex sensory information for useful actions. Future advances
in our understanding of the human brain will need integrating approaches
across disciplines, including psychology, computer science, robotics,
and neuroimaging.
In Bülthoff´s department a group of about 70
biologists, computer scientists, mathematicians, physicists and
psychologists study cognitive processes including 
object recognition and categorization, perception and action in virtual environments, human-robot interaction and perception, computer graphics and computer vision.
Traditional psychophysical methods emphasize the analysis of perception
using simple stimuli; however, computer vision studies have made it
clear that further advances in our understanding of perception and
cognition will rely on the use of realistic stimuli and tasks.
In our new 
Cyberneum building we use methods developed from computer graphics and virtual reality to
build simulated naturalistic environments under precise experimental
control in order to investigate cognition in a closed perception-action
loop. In psychophysical studies we could show that humans can integrate
multimodal sensory information in a statistically optimal way, in which
cues are weighted according to their reliability.
Many of our results from basic research in perception
and cognition are further developed into useful application. Our group leads or participates in several
of the European Research projects: MyCopter, SUPRA, TANGO, THE.
Research fields in my department are:
Recognition and Categorization
Perception and Action in Virtual Environments
Cybernetics Approach tp Perception an Action
Motion Perception in Vehicle Simulation
Ongoing EU projects:
myCopter - Enabling Technologies for Personal Aerial Transportation Systems SUPRA - Simulation of Upset Recovery in Aviation TANGO - Emotional interaction grounded in realistic context VR-HYPERSPACE - research and development leading to a paradigm shift in relation to passenger comfort
Heinrich Bülthoff is scientific member of the Max Planck Society and director at the Max Planck Institute for Biological Cybernetics in Tübingen.
He is head of the Department Human Perception, Cognition and Action in which a group of about 70 researchers investigate psychophysical and computational aspects of higher level visual processes in object and face recognition, sensory-motor integration, spatial cognition, and perception and action in virtual environments.
He holds a Ph.D. degree in the natural sciences from the Eberhard-Karls-Universität in Tübingen. From 1980 to 1988 he worked as a research scientist at the Max Planck Institute for Biological Cybernetics and the Massachusetts Institute of Technology. He was Assistant, Associate and Full Professor of Cognitive Science at Brown University in Providence from 1988-1993 before becoming director at the Max Planck Institute for Biological Cybernetics. He is Honorary Professor at the Eberhard-Karls-Universität (Tübingen) and Korea University (Seoul) and Editor of several international journals.
Heinrich Bülthoff is involved in many international collaborations and member of several European research networks. He has participated in many projects funded by the European Commission and is currently leading the EU project myCopter.
| • | Bülthoff HH  and Nieuwenhuizen FM (November-4-2011) myCopter: Enabling Technologies for Personal Aerial Transportation Systems, 3rd International HELI World Conference 2011 "HELICOPTER Technologies and Operations", Frankfurt a.M., Germany.  CiteID: BulthoffN2011_2 |
| • | Bülthoff HH (November-2011) New Concepts for Personal Aerial Transportation Systems, 3rd International HELI World Conference 2011, Frankfurt a.M., Germany. CiteID: Bulthoff2011_6 |
| • | Bülthoff HH (October-5-2011) Science and Science Fiction: closing the loop between
Perception and Technology, Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea. CiteID: Bulthoff2011_8 |
| • | Bülthoff HH , Wallraven C , Gaissert N , Waterkamp S and van Dam L (October-2011) Efficient cross-modal transfer of shape information in visual and haptic object categorization, 12th International Multisensory Research Forum (IMRF 2011), Fukuoka, Japan, i-Perception2 (8) 822. Categorization has traditionally been studied in the visual domain with only a few studies focusing on the abilities of the haptic system in object categorization. During the first years of development, however, touch and vision are closely coupled in the exploratory procedures used by the infant to gather information about objects. Here, we investigate how well shape information can be transferred between those two modalities in a categorization task. Our stimuli consisted of amoeba-like objects that were parametrically morphed in well-defined steps. Participants explored the objects in a categorization task either visually or haptically. Interestingly, both modalities led to similar categorization behavior suggesting that similar shape processing might occur in vision and haptics. Next, participants received training on specific categories in one of the two modalities. As would be expected, training increased performance in the trained modality; however, we also found significant transfer of training to the other, untrained modality after only relatively few training trials. Taken together, our results demonstrate that complex shape information can be transferred efficiently across the two modalities, which speaks in favor of multisensory, higher-level representations of shape.  CiteID: GaissertWvBW2011 |
| • | Bülthoff HH (September-27-2011) Plenary II: BioRobotics, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, CA, USA. CiteID: Bulthoff2011_9 |
| • | Bülthoff HH (September-22-2011) Perceptual Graphics: closing the loop between Perception, Graphics and Computer Vision, 19th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2011), Kaoshiung, Taiwan. In our Perceptual Graphics group at the Max Planck Institute for Biological Cybernetics we integrate methods from psychophysics, computer graphics and computer vision in order to understand fundamental perceptual and cognitive processes. The fusion of methods from these research areas has the potential to greatly advance our understanding of perception and cognition. Highly controllable, yet realistic computergenerated stimuli offer novel ways for psychophysical investigations. The results from those experiments can in turn be used to derive perceptual "shortcuts" to more efficient rendering approaches. Computer vision and machine learning algorithms can be used to model human cognition and action while conversely, the results from perceptual experiments can inform computer scientists how the brain solves problems and thus can lead to more efficient solutions of hard problems like recognition and categorization. In this presentation, I will highlight how the latest tools in computer vision, computer graphics, and virtual reality technology can be used to systematically understand the factors that determine how humans behave and solve tasks in realistic scenarios. CiteID: Bulthoff2011_7 |
| • | Bülthoff HH (August-11-2011) Towards Artificial Systems: What Can We Learn From Human Perception?, Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11), San Francisco, CA, USA. Recent progress in learning algorithms and sensor hardware has led to rapid advances in artificial systems. However, their performance continues to fall short of the efficiency and plasticity of human behavior. In many ways, a deeper understanding of how humans process and act upon physical sensory information can contribute to the development of better artificial systems. In this presentation, Buelthoff will highlight how the latest tools in computer vision, computer graphics, and virtual reality technology can be used to systematically understand the factors that determine how humans behave and solve tasks in realistic scenarios. CiteID: Bulthoff2011_4 |
| • | Bülthoff HH (July-30-2011) Wie kommt die Welt in den Kopf?: Von der Grundlagenforschung zur Anwendung, Lingelbachs Scheune – Optische Phänomene e.V., Abtsgmünd, Germany. CiteID: Bulthoff2011_5 |
| • | Bülthoff HH (July-6-2011) Wahrnehmen, begreifen und handeln: Die Kommunikation des Menschen mit seinen Hifsmitteln, Tübinger Innovationstage 2011 der Industrie- und Handelskammer Reutlingen, Tübingen, Germany. CiteID: Bulthoff2011_3 |
| • | Bülthoff HH , Thornton IM , Mamassian P and Caniard F (July-2011) Active control does not eliminate motion-induced illusory displacement , 7th Asia-Pacific Conference on Vision (APCV 2011), Hong Kong. When the sine-wave grating of a Gabor patch drifts to the left or right, the perceived position of the entire object is shifted in the direction of local motion. In the current work we explored whether active control of the physical position of the patch overcomes such motion induced illusory displacement. In Experiment 1 we created a simple computer game and asked participants to continuously guide a Gabor patch along a randomly curving path using a joystick. When the grating inside the Gabor patch was stationary, participants could perform this task without error. When the grating drifted to either left or right, we observed systematic errors consistent with previous reports of motion-induced illusory displacement. In Experiment 2 we created an iPad application where the built-in accelerometer tilt control was used to steer the patch through as series of “gates”. Again, we observed systematic guidance errors that depended on the direction and speed of local motion. In conclusion, we found no evidence that participants could adapt or compensate for illusory displacement given active control of the target.  CiteID: ThorntonCMB2011_2 |
| • | Bülthoff HH , Wallraven C , Armann R , Bülthoff I and Lee RK (July-2011) Investigating the other-race effect in different face recognition tasks, 7th Asia-Pacific Conference on Vision (APCV 2011), Hong Kong. Faces convey various types of information like identity, ethnicity, sex or emotion. We investigated whether the well-known other-race effect (ORE) is observable when facial information other than identity varies between test faces. First, in a race comparison task, German and Korean participants compared the ethnicity of two faces sharing similar identity information but differing in ethnicity. Participants reported which face looked more Asian or Caucasian. Their behavioral results showed that Koreans and Germans were equally good at discriminating ethnicity information in Asian and Caucasian faces. The nationality of participants, however, affected their eye-movement strategy when the test faces were shown sequentially, thus, when memory was involved. In the second study, we focused on ORE in terms of recognition of facial expressions. Korean participants viewed Asian and Caucasian faces showing different facial expressions for 100ms to 800ms and reported the emotion of the faces. Surprisingly, under all three presentation times, Koreans were significantly better with Caucasian faces. These two studies suggest that ORE does not appear in all recognition tasks involving other-race faces. Here, when identity information is not involved in the task, we are not better at discriminating ethnicity and facial expressions in same race compared to other race faces. CiteID: BulthoffAWB2011 |
| • | Bülthoff HH (June-20-2011) Science and Science Fiction: closing the loop between Cognition and Application, University of Genoa, Genova, Italy. CiteID: Bulthoff2011_2 |
| • | Bülthoff HH and Nieuwenhuizen F (March-31-2011) myCopter: Enabling Technologies for Personal Aerial Transportation Systems, Sixth European Aerodays 2011, Madrid, Spain. CiteID: BulthoffN2011 |
| • | Bülthoff HH (January-11-2011) What can computer scientists learn from cognitive scientists?, Symposium “Defining Cognitive Informatics”, Wien, Austria. CiteID: Bulthoff2011 |
| • | Bülthoff HH , Wallraven C , de la Rosa S and Kaulard K (October-2010) Cognitive categories of emotional and conversational facial expressions are influenced by dynamic information, 11th Conference of Junior Neuroscientists of Tübingen (NeNa 2010), Heiligkreuztal, Germany11 (10) 16. Most research on facial expressions focuses on static, ’emotional’ expressions. Facial expressions, however, are also important in interpersonal communication (’conversational’ expressions). In addition, communication is a highly dynamic phenomenon and previous evidence suggests that dynamic presentation of stimuli facilitates recognition. Hence, we examined the categorization of emotional and conversational expressions using both static and dynamic stimuli. In a between-subject design, 40 participants were asked to group 55 different facial expressions (either static or dynamic) of ten actors in a free categorization task. Expressions were to be grouped according to their overall similarity. The resulting confusion matrix was used to determine the consistency with which facial expressions were categorized. In the static condition, emotional expressions were grouped as separate categories while participants confused conversational expressions. In the dynamic condition, participants uniquely categorized basic and sub-ordinate emotional, as well as several conversational facial expressions. Furthermore, a multidimensional scaling analysis suggests that the same potency and valence dimensions underlie the categorization of both static and dynamic expressions. Basic emotional expressions represent the most effective categories when only static information is available. Importantly, however, our results show that dynamic information allows for a much more fine-grained categorization and is essential in disentangling conversational expressions. CiteID: KaulardWdB2010 |
| • | Bülthoff HH (September-28-2010) Brain and Cognitive Engineering: What can Engineers learn from Cognitive Scientists?, Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea. This presentation will give an overview of current topics in the Biological Cybernetics labs at the Max Planck Institute in Tübingen and the Department of Brain and Cognitive Engineering at Korea University. Recent examples from our research on face and object recognition will highlight the importance of dynamic and multi-sensory information as well as active vision for recognition and show how perceptual research can contribute towards the development of better artificial systems. CiteID: 6759 |
| • | Bülthoff HH (September-13-2010) Towards artificial systems: what can we learn from human perception, APCTP Headquarters: Lecture 1442, Pohang, Korea. CiteID: 6733 |
| • | Bülthoff HH (September-9-2010) Towards Artificial Systems: What can we learn from human perception?, Seoul National University, School of Computer Science and Engineering, Seoul, South Korea. CiteID: 6756 |
| • | Bülthoff HH (September-8-2010) The Cybernetics Approach to Cognitive Engineering, Distinguished Lecture Series, Korea University, Seoul, South Korea. CiteID: 6757 |
| • | Bülthoff HH (August-30-2010) Towards artificial systems: what can we learn from human perception, The Pacific Rim International Conference on Artificial Intelligence (PRICAI 2010), Daegu, Korea. CiteID: 6633 |
| • | Bülthoff HH , Wallraven C , de la Rosa S and Kaulard K (August-2010) Cognitive categories of emotional and conversational facial expressions are influenced by dynamic information, 33rd European Conference on Visual Perception, Lausanne, Switzerland, Perception39 (ECVP Abstract Supplement) 157. Most research on facial expressions focuses on static, ‘emotional’ expressions. Facial expressions, however, are also important in interpersonal communication (‘conversational’ expressions). In addition, communication is a highly dynamic phenomenon and previous evidence suggests that dynamic presentation of stimuli facilitates recognition. Hence, we examined the categorization of emotional and conversational expressions using both static and dynamic stimuli. In a between-subject design, 40 participants were asked to group 55 di erent facial expressions (either static or dynamic) of ten actors in a free categorization task. Expressions were to be grouped according to their overall similarity. The resulting confusion matrix was used to determine the consistency with which facial expressions were categorized. In the static condition, emotional expressions were grouped as separate categories while participants confused conversational expressions. In the dynamic condition, participants uniquely categorized basic and sub-ordinate emotional, as well as several conversational facial expressions. Furthermore, a multidimensional scaling analysis suggests that the same potency and valence dimensions underlie the categorization of both static and dynamic expressions. Basic emotional expressions represent the most e ective categories when only static information is available. Importantly, however, our results show that dynamic information allows for a much more fine-grained categorization and is essential in disentangling conversational expressions. CiteID: 6740 |
| • | Bülthoff HH (June-18-2010) The MPI CyberMotion Simulator:
A new concept for ab initio helicopter flight training, Institut für Hirnforschung, Bremen University, Bremen, Germany. CiteID: 6640 |
| • | Bülthoff HH (June-11-2010) The MPI CyberMotion Simulator:
Development of a novel helicopter trainer, ILA Helikopter Forum, Berlin, Germany. CiteID: 6680 |
| • | Bülthoff HH (March-25-2010) Die Welt in unseren Köpfen: Sehen und Erkennen in Natur und Technik, Health and Life Sciences, Private Universität im Fürstentum Liechtenstein, Triesen, Liechtenstein. Die Überlegenheit der natürlichen über die künstliche Intelligenz liegt in der Fähigkeit des menschlichen Gehirns, die verschiedenen Sinnesinformationen miteinander zu verrechnen um dadurch sinnvolle Handlungen zu ermöglichen. Um diese Leistungen unseres Gehirns zu verstehen und in technische Systeme umzusetzen bedarf es der vereinten Anstrengungen verschiedener Disziplinen, darunter Biologie, Informatik, Mathematik, Physik, Psychologie und Robotik. Die neuen Methoden der Virtuellen Realität erlauben in Verhaltensexperimenten einen sensorischen Realismus zu erzeugen, der der Erfahrung der realen Welt weitgehend entspricht. Gleichzeitig erlauben diese Methoden eine genaue Kontrolle der Reizparameter, die für eine psychophysische Untersuchung notwendig sind. Darüber hinaus werden Wahrnehmungsleistungen nicht isoliert betrachtet sondern im geschlossenen Regelkreis von Wahrnehmung und Handlung untersucht. CiteID: 6446 |
| • | Bülthoff HH (January-29-2010) Keynote lecture: The Cybernetics Approach to Perception, Cognition and Action, 2nd European Network for the Advancement of Artificial Cognitive Systems, Interaction and Robotics, Zürich, Switzerland. The question of how we perceive and interact with the world around us has been at the heart of cognitive and neuroscience research for the last decades. Despite tremendous advances in the field of computational vision made possible by the development of powerful learning techniques as well as the existence of large amounts of labeled training data for harvesting - artificial systems have yet to reach human performance levels and generalization capabilities. In this contribution we want to highlight some recent results from perceptual studies that could help to bring artificial systems a few steps closer to this grand goal. In particular, we focus on the issue of spatio-temporal object representations (dynamic faces), face synthesis, as well as the need for taking into account multi-sensory data in models of object categorization. In all of these perceptual research lines, the underlying research philosophy was to combine the latest tools in computer vision, computer graphics, and computer simulations in or der to gain a deeper understanding of recognition and categorization in the human brain. Conversely, we discuss how the perceptual results can feed back into the design of better and more efficient tools for artificial systems. CiteID: 6343 |
| • | Bülthoff HH (January-18-2010) Towards artificial systems: what can we learn from human perception ?, The Winterseminar 2010, Hotel Sport, Klosters, Switzerland. CiteID: 6264 |
| • | Bülthoff HH (November-4-2009) What can Computers learn from Human Perception, Distinguished Lecturerer Series - WCU Research Division for Brain and Cognitive Engineering, Korea University, Seoul, Korea. CiteID: 6139 |
| • | Bülthoff HH , Cunningham DW , Wallraven C and Kaulard K (November-2009) Laying the foundations for an in-depth investigation of the whole space of facial expressions, 10th Conference of Junior Neuroscientists of Tübingen (NeNa 2009), Ellwangen, Germany10 (6) 11. Compared to other species, humans have developed highly sophisticated communication systems for social interaction. One of the most important communication systems is based on facial expressions, which are both used for expressing emotions and conveying intentions. Starting already at birth, humans are trained to process faces and facial expressions, resulting in a high degree of perceptual expertise for face perception and social communication. To date, research has mostly focused on the emotional aspect of facial expression processing, using only a very limited set of „generic“ or „universal“ expressions, such as happiness or sadness. The important communicative aspect of facial expressions, however, has so far been largely neglected. Furthermore, the processing of facial expressions is influenced by dynamic information (e. g. Fox et al., 2009). However, almost all studies so far have used static expressions and thus were studying facial expressions in an ecologically less valid context (O’Toole et al., 2004). In order to enable a deeper understanding of facial expression processing it therefore seems crucial to investigate the emotional and communicative aspects of facial expressions in a dynamic context. For these investigations it is essential to first construct a database that contains such material using a well-controlled setup. In this talk, we will present the novel MPI facial expression database, which to our knowledge is the most extensive database of this kind up to date. Furthermore, we will briefly present psychophysical experiments with which we investigated the validity of our database, as well as the recognizability of a large set of facial expressions. CiteID: KaulardWCB2009 |
| • | Bülthoff HH (October-28-2009) Human Shape Perception, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea. One aspect in which human shape estimation is better than state-of-the-art computer vision algorithms, is that it is extremely stable across a wide range of complex lighting and reflectance conditions. For example, while most stereo and shape-from-shading algorithms require minimal specular reflections, the human brain, by contrast, appears to be well aware of the physics of specular reflections, to the extent that highlights actually improve human shape perception. Similarly, it is common for shape-from-shading algorithms to assume known illumination, and often collimated light (which is rarely encountered during the daytime). By contrast, human shape perception works best under complex illumination patterns. I will present a review of some of the findings from our research group in which human shape perception is evaluated under conditions that are particularly challenging for many computer systems, including complex lighting conditions and spatially varying or non-Lambertian BRDFs. In general we find that the more complex and naturalistic the viewing conditions, the better human perception is, suggesting that there are many sources of information within shading still to be discovered. I will present the community with a few key findings from human vision that I believe any biologically motivated machine vision system should emulate. CiteID: 6138 |
| • | Bülthoff HH (October-26-2009) Biologically Motivated Computer Graphics, Korea Institute of Science and Technology (KIST), Seoul, Korea. CiteID: 6137 |
| • | Bülthoff HH (October-9-2009) Biologically Motivated Computer Graphics, Korean Computer Graphics Society Meeting KCGS-2009, Jeju Island, Korea. CiteID: 6136 |
| • | Bülthoff HH (September-30-2009) Recent Advances in Perception, Cognition and Action Research, International Symposium on Brain and Cognitive Engineering, Korea University, Seoul, Korea, Korea University, Seoul, Korea. CiteID: 6135 |
| • | Bülthoff HH (August-24-2009) Multisensory integration for perception and action in virtual environments, 33rd European Conference on Visual Perception, Regensburg, Germany, Perception38 (ECVP Abstract Supplement) 2. Understanding vision has always been at the centre of research in perception and cognition. Experiments on vision, however, have usually been conducted with a strong focus on perception, neglecting the fact that in most natural tasks sensory signals are not ultimately used for perception, but rather for action. The effects of the action are sensed by the sensory system, so that perception and action are complementary parts of a dynamic control system. Additionally, the human sensory system receives input from multiple senses which have to be integrated in order to solve tasks ranging from standing upright to controlling complex vehicles. In our Cybernetics research group we use psychophysical, physiological, modeling, and simulation techniques to study how cues from different sensory modalities are integrated by the brain to perceive, act in, and interact with the real world. In psychophysical studies, we could show that humans integrate multimodal sensory information often, but not always, in a statistically optimal way such that cues are weighted according to their reliability. In this talk, I will present results from our studies on multisensory integration of perception and action in both natural and simulated environments for different tasks using our latest simulator technologies, the Cyberwalk omnidirectional treadmill and the MPI Motion Simulator based on a large industrial robot arm. CiteID: 5972 |
| • | Bülthoff HH , Wallraven C and Gaissert N (August-2009) Exploring visual and haptic object categorization, European Conference on Visual Perception (ECVP 2009), Regensburg, Germany, Perception38 (ECVP Abstract Supplement) 159. Humans combine visual and haptic shape information in object processing. To investigate commonalities and differences of these two modalities for object categorization, we performed similarity ratings and three different categorization tasks visually and haptically and compared them using multidimensional scaling techniques. As stimuli we used a 3-D object space, of 21 complex parametrically-defined shell-like objects. For haptic experiments, 3-D plastic models were freely explored by blindfolded participants with both hands. For visual experiments, 2-D images of the objects were used. In the first task, we gathered pair-wise similarity ratings for all objects. In the second, unsupervised task, participants freely categorized the objects. In the third, semi-supervised task, participants had to form exactly three groups. In the fourth, supervised task, participants learned three prototype objects and had to assign all other objects accordingly. For all tasks we found that within-category distances were smaller than across-category distances. Categories form clusters in perceptual space with increasing density from unsupervised to supervised categorization. In addition, the unconstrained similarity ratings predict the categorization behavior of the unsupervised categorization task best. Importantly, we found no differences between the modalities in any task showing that the processes underlying categorization are highly similar in vision and haptics. CiteID: 5953 |
| • | Bülthoff HH , Campos J and Butler J (August-2009) The importance of body-based cues for travelled distance perception, 9th Annual Meeting of the Vision Sciences Society (VSS 2009), Naples, FL, USA, Journal of Vision9 (8) 1144. When moving through space, both dynamic visual information (i.e. optic flow) and body-based cues (i.e. proprioceptive and vestibular) jointly specify the extent of a travelled distance. Little is currently known about the relative contributions of each of these cues when several are simultaneously available. In this series of experiments participants travelled a predefined distance and subsequently reproduced this distance by adjusting a visual target until the self-to-target distance matched the distance they had moved. Visual information was presented through a head-mounted display and consisted of a long, richly textured, virtual hallway. Body-based cues were provided either by A) natural walking in a fully-tracked free walking space (proprioception and vestibular) B) being passively moved by a robotic wheelchair (vestibular) or C) walking in place on a treadmill (proprioception). Distances were either presented through vision alone, body-based cues alone, or both visual and body-based cues combined. In the combined condition, the visually-specified distances were either congruent (1.0x) or incongruent (0.7x/1.4x) with distances specified by body-based cues. Incongruencies were created by either changing the visual gain or changing the proprioceptive gain (during treadmill walking). Further, in order to obtain a measure of “perceptual congruency” between visual and body-based cues, participants were asked to adjust the rate of optic flow during walking so that it matched the proprioceptive information. This value was then used as the basis for later congruent cue trials. Overall, results demonstrate a higher weighting of body-based cues during natural walking, a higher weighting of proprioceptive information during treadmill walking, and an equal weighting of visual and vestibular cues during passive movement. These results were not affected by whether visual or proprioceptive gain was manipulated. Adopting the obtained measure of perceptual congruency for each participant also did not change the conclusions such that proprioceptive cues continued to be weighted higher. CiteID: 5927 |
| • | Bülthoff HH and Wallraven C (August-2009) Beyond vision: multi-sensory processing in humans and machines, Second International Workshop on Shape Perception in Human and Computer Vision (SPHCV-ECVP 2009), Regensburg, Germany. The question of how humans learn to categorize objects and events has been at the heart of cognitive and neuroscience research for the last decades. In recent years, much work also in computer vision has focused on this topic and by now has generated multiple challenges, databases, and novel approaches. In this talk, I will argue that there is more to "vision" than "bags of words". Recent work in our lab has focused on using state-of-the-art computer graphics and simulation technology in order to advance our understanding of the role vision plays in the "ultimate cognitive system" - the human. In particular, in my talk I will discuss the need for spatio-temporal object representations, as well as why we need a notion of shape and material properties in object interpretation that goes far beyond most current computer vision approaches. Most importantly, however, I will focus on multi-modal/multi-sensory aspects of object processing as one of the key elements of learning about the world through interaction. Evi dence from several studies of haptic object processing, for example, has shown that the sense of touch is sometimes surprisingly acute in representing complex shape spaces. I will finish by showing how some of these perceptual and cognitive results can be integrated into novel, more efficient and effective vision systems. CiteID: 5982 |
| • | Bülthoff HH and Wallraven C (July-2009) Beyond vision: multi-sensory processing in
humans and machines, Workshop on Trends in Computer Vision 2009, Praha, Czech Republic. CiteID: 5984 |
| • | Bülthoff HH (June-24-2009) Multi-sensory navigation in Virtual Reality, CVR 2009, Toronto, Canada. CiteID: 5926 |
| • | Bülthoff HH (June-3-2009) What can machine vision learn from human perception?, ICB 2009, University of Sassari, Italy. CiteID: 5925 |
| • | Bülthoff HH (February-5-2009) Effect of lateral motion on drivers' performance in the MPI motion simulator, DSC 2009, Monaco. CiteID: 5924 |
| • | Bülthoff HH , Ernst MO , Souman JL , Robuffo Giordano P , Mattone R and Luca AD (October-24-2008) The CyberWalk Platform: Human-Machine Interaction Enabling
Unconstrained Walking through VR, First workshop for young researchers on Human-friendly robotics, Naples. CiteID: 5608 |
| • | Bülthoff HH (October-5-2008) Recognition and Categorization in Man and
Machine, Fyssen Colloquium "From objects to categories: Visual categorization in big brains, small brains and machines", Pavillon Henri IV, Saint Germain en Laye, France. CiteID: 5522 |
| • | Bülthoff HH (September-16-2008) Keynote Lecture - Virtual reality as a valuable research tool for studying spatial cognition, Spatial Cognition 2008, Freiburg, Germany. CiteID: 5493 |
| • | Bülthoff HH (August-2008) Learning System Dynamics: Transfer of Tranining in a Helicopter Hover Simulator, AIAA Guidance, Navigation and Control Conference, Honolulu, USA. CiteID: 5385 |
| • | Bülthoff HH , Butler JS and Smith ST (July-2008) The role of stereo vision in visual and vestibular cue integration, 9th International Multisensory Research Forum (IMRF 2008), Hamburg, Germany9 (198) 179. Self-motion through an environment is a composite of signals such as vision and vestibular cues. Recently, it has been shown that visual-auditory cues and visual-haptic cues combine in a statistically optimal fashion. We asked what role does stereo vision play in optimal integration of visual and vestibular cues for linear heading. Participants performed the task in visual alone, vestibular alone or combined visual-vestibular (self-motion). The conditions were grouped into two experiments; bi-ocular, 2-D experiment and stereo, 3-D experiment. Participants were seated on a Stewart motion platform and presented with two motions consisting of a standard heading of straight ahead and a comparison heading and judged which movement was more to the right. From the responses individual JND were calculated (i.e., reliability measure). In the 2-D experiment 40% of participants’ self-motion reliability was worse than their most reliable unimodal cue, thus violating optimal cue combination. In the 3-D experiment all subjects self-motion reliability was not statistically different from the optimal predicted self-motion and therefore more reliable than either unimodal cue. These results can be evaluated with respect to a neuronal population model. These findings show that visual-vestibular cues combine in statistically optimal fashion with the caveat of stereo visuals. CiteID: 5159 |
| • | Bülthoff HH (July-2008) Visual proprioceptive, and inertial cue-wighting in travelled distance perception, ICP, Berlin, Germany. CiteID: 5457 |
| • | Bülthoff HH (June-2008) Perceptual Graphics: Integrating Perception, Computer Graphics, and Computer Vision, 19th Eurographics Symposium on Rendering 2008, Sarajewo, Bosnia and Herzegowina. CiteID: 5268 |
| • | Bülthoff HH (May-13-2008) Keynote Lecture - Going beyond vision: multisensory integration for perception and action, ICVS 2008, 6th International Conference on Computer Vision Systems, Vision for Cognitive Systems, Santorini, Greece. Understanding vision has always been at the centre of research in both cognitive and computational sciences. Experiments on vision, however, have usually been conducted with a strong focus on perception, neglecting the fact that in most natural tasks sensory signals are not ultimately used for perception, but rather for action. The effects of the action are sensed again by the sensory system, so that perception and action are complementary parts of a dynamic control system. Additionally, the human sensory system receives input from multiple senses which have to be integrated in order to solve tasks ranging from standing upright to controlling complex vehicles. In our Cybernetics research group at the Max Planck Institute in Tuebingen, we use psychophysical, physiological, modeling, and simulation techniques to study how cues from different sensory modalities are integrated by the brain to perceive, act in, and interact with the real world. In psychophysical studies, we could show that humans integrate multimo dal sensory information often but not always in a statistically optimal way, such that cues are weighted according to their reliability. In this talk, I will present results from our studies on multisensory integration of perception and action in both natural and simulated environments in different task contexts - from object recognition, to navigation, to vehicle control. CiteID: 5139 |
| • | Bülthoff HH and Wallraven C (May-2008) Multi-sensory Integration for Perception and Action, ICRA 2008 Workshop on Future Directions in Visual Navigation, Pasadena, CA, USA. CiteID: 5987 |
| • | Bülthoff HH (March-30-2008) Multisensory integration for action in natural and virtual environments, NETI 2008, NETI 2008. Many experiments which study the mechanisms by which different senses interact in humans focus on perception. In most natural tasks, however, sensory signals are not ultimately used for perception, but rather for action. The effects of the action are sensed again by the sensory system, so that perception and action are complementary parts of a dynamic control system. In our cybernetics research group at the Max Planck Institute in Tuebingen, we use psychophysical, physiological, modeling and simulation techniques to study how cues from different sensory modalities are integrated by the brain to perceive and act in the real world. In psychophysical studies, we could show that humans integrate multimodal sensory information often but not always in a statistically optimal way, such that cues are weighted according to their reliability. In this talk I will also present our latest simulator technology using an omni-directional treadmill and a new type of flight simulator based on an anthropomorphic robot arm. CiteID: 5110 |
| • | Bülthoff HH (March-11-2008) Locomotion in VR. State-of-the-art & Psychophysics, IEEE VR08, Reno, Nevada, US. CiteID: 5109 |
| • | Bülthoff HH (January-25-2008) The Cybernetic Approach to Perception and Action, The Winterseminar 2008, Hotel Sport, Klosters, CH. CiteID: 4955 |
| • | Bülthoff HH and Wertheimer J (October-30-2007) Wie wirklich ist die Illusion?: Ein Dialog zwischen Natur- und Literaturwissenschaft, Studium Generale der Universität Tübingen, Tübingen, Germany. CiteID: 4803 |
| • | Bülthoff HH and Wallraven C (October-14-2007) Multimodal Categorization, Eleventh IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil. The question of how the human brain "makes sense" of the sensory input it receives has been at the heart of cognitive and neuroscience research for the last decades. One of the most fundamental perceptual processes is categorization the ability to compartmentalize knowledge for efficient retrieval. Recent advances in computer graphics and computer vision have made it possible to both produce highly realistic stimulus material for controlled experiments in life-like environments as well as to enable highly detailed analyses of the physical properties of realworld stimuli. CiteID: 4802 |
| • | Bülthoff HH (October-5-2007) Was wir zu sehen denken. Wahrnehmung und Handlung in realen und virtuellen Welten, Symposium: Nicht wahr?! Sinneskanäle, Hirnwindungen und Grenzen der Wahrnehmung, Germanisches Nationalmuseum Nürnberg, Germany. Die Sinnesorgane und die zugehörigen Verarbeitungsareale im Gehirn bilden unseren "Wahrnehmungsapparat". Er bildet die Außenwelt nicht nur in uns ab, sondern legt sie gleichsam für uns aus. Wahrnehmungsprozesse beruhen auf Filterung, Integration und Bewertung von Sinnesdaten. Welche Täuschungen können daraus resultieren und auf welchen Mechanismen beruhen sie? Welchen evolutionären Überlebensvorteil haben diese Mechanismen geboten? Gibt es Wissen über die Außenwelt jenseits unserer Sinneswahrnehmung? CiteID: 4801 |
| • | Bülthoff HH (September-2007) The MPI Motion Simulator: A new approach to motion simulation with an anthropomorphic robot arm, 2nd Motion Simulator Conference 2007, Braunschweig, Germany. CiteID: 4734 |
| • | Bülthoff H (August-2007) The Role of Visual Cues and Whole-Body Rotations in Helicopter Hovering Control, AIAA Guidance, Navigation and Control Conference, Hilton Head, South Carolina. CiteID: 5390 |
| • | Bülthoff HH (July-2007) Keynote Lecture: Multisensory Integration for Perception and Action, International Intersensory Research Symposium: Perception and Action 2007, Sydney, Australia. CiteID: 4575 |
| • | Bülthoff HH (July-2007) Keynote Lecture: Multisensory Integration in Virtual Environments, 8th International Multisensory Research Forum (IMRF 2007), Sydney, Australia. Many experiments which study the mechanisms by which different senses interact in humans focus on perception. In most natural tasks, however, sensory signals are not ultimately used for perception, but rather for action. The effects of the action are sensed again by the sensory system, so that perception and action are complementary parts of a dynamic control system. In our cybernetics research group at the Max Planck Institute in Tübingen, we use psychophysical, physiological, modeling and simulation techniques to study how cues from different sensory modalities are integrated by the brain to perceive and act in the real world. In psychophysical studies, we could show that humans can integrate multimodal sensory information in a statistically optimal way, such that cues are weighted according to their reliability. A better understanding of multimodal sensory fusion will allow us to build new virtual reality platforms in which the design effort for simulating the relevant modalities (visual, auditory, haptic , vestibular and proprioceptive) is influenced by the weight of each. In this talk we will discuss which of these characteristics would be necessary to allow valuable improvements in high-fidelity simulator design. CiteID: 4576 |
| • | Bülthoff HH (July-2007) An image-based approach to perception and action, Queensland Brain Institute, Neuroscience Seminar Series, Brisbane, Australia. CiteID: 4647 |
| • | Bülthoff HH (June-2007) From insect vision to human perception: A long journey with many friends to understand the brain, A Journey Through Computation, Genova, Italy. CiteID: 4554 |
| • | Bülthoff HH (April-18-2007) Erkennen ist mehr als Sehen, Biozentrumskolloquium Universität Würzburg, Würzburg, Germany. CiteID: 4574 |
| • | Bülthoff HH (March-29-2007) What is missing in high-fidelity motion simulation?, SIMONA Symposium, Delft, Netherlands. CiteID: 4440 |
| • | Bülthoff HH (February-2007) Perception and Action in Virtual
Environments, Lausanne Neuroscience Colloquium, Lausanne, Switzerland. CiteID: 5037 |
| • | Bülthoff HH (October-24-2006) Sehen in Natur und Technik oder Wie kommt die Welt in den Kopf und was können Architekten damit anfangen, Aussenstellentagung der MPG-Bauabteilung, Grassau, Chiemsee, Germany. CiteID: 4235 |
| • | Bülthoff HH (September-11-2006) Object Recognition in Man and Machine, Visual Neuroscience - from Spikes to Awareness, Rauischholzhausen, Germany. CiteID: 4182 |
| • | Bülthoff HH (September-11-2006) Multimodal Integration for Perception and Action, Visual Neuroscience - from Spikes to Awareness, Rauischholzhausen, Germany. CiteID: 4183 |
| • | Bülthoff HH (August-29-2006) Multisensory Integration during Active Control, EPFL Brain and Mind Institute, Lausanne. Most experiments which study the mechanisms by which different senses interact in humans focus on perception. In most natural tasks, however, sensory signals are not ultimately used for perception, but rather for action. The effects of the action are sensed again by the sensory system, so that perception and action are complementary parts of a dynamic control system. To get a better understanding of how different senses interact in self-motion, we study the control of self-motion in a closed perception-action loop. Here we investigated how cues from different sensory modalities (visual cues and body cues) are used when humans stabilize a simulated helicopter at a target location. CiteID: 4150 |
| • | Bülthoff HH (August-8-2006) Das Rätsel der Wahrnehmung: Eine Einführung, Wissenschaftsnacht, Tübingen. CiteID: 4136 |
| • | Bülthoff HH and Wertheimer J (August-8-2006) Wie kommt die Welt in den Kopf und wieder heraus: Ein Dialog, Wissenschaftsnacht, Tübingen. CiteID: 4137 |
| • | Bülthoff HH , Berger D and Terzibas C (June-15-2006) From virtual images to actions, Virtual Images Seminar, Paris. Most experiments which study the mechanisms by which different senses interact in humans focus on perception. In most natural tasks, however, sensory signals are not ultimately used for perception, but rather for action. The effects of the action are sensed again by the sensory system, so that perception and action are complementary parts of a dynamic control system. To get a better understanding of how different senses interact in self-motion, we study the control of self-motion in a closed perception-action loop. Here we investigated how cues from different sensory modalities (visual cues and body cues) are used when humans stabilize a simulated helicopter at a target location. CiteID: 4072 |
| • | Bülthoff HH and Wallraven C (May-2006) Multimodal Recognition and Categorization, Vision Science Society Panel Presentation, Sarasota, FL, USA. CiteID: 3997 |
| • | Bülthoff HH (January-25-2006) Perception and Action in Virtual Environments, Winterseminar, Klosters. CiteID: 3851 |
| • | Bülthoff HH (January-16-2006) Integration of visual, auditory and vestibular information in spatial orientation and control tasks, Bayesian Cognition Workshop, Paris. CiteID: 3850 |
| • | Bülthoff HH , Thornton IM , Vuong QC and Chuang L (November-9-2005) Recognising novel deforming objects, Object Perception, Attention and Memory, Toronto, Canada. Current theories of visual object recognition tend to focus on static properties, particularly shape. Nonetheless, visual perception is a dynamic experienceas a result of active observers or moving objects. Here, we investigate whether dynamic information can influence visual object-learning. Three learning experiments were conducted that required participants to learn and subsequently recognize different non-rigid objects that deformed over time. Consistent with previous studies of rigid depth-rotation, our results indicate that human observers do represent object-motion. Furthermore, our data suggest that dynamic information could compensate for when static cues are less reliable, for example, as a result of viewpoint variation. CiteID: 3771 |
| • | Bülthoff HH (September-15-2005) Towards a better understanding of motion simulation: a human perspective, DSC 2005 Europe, Guyancourt, France. CiteID: 3572 |
| • | Bülthoff HH , Blanz V , Breidt M , Krimmel M, Schmiedeberg T, Straub-Duffner S, Scherbaum K and Reinert S (August-30-2005) 3D Facial Growth in Healthy Caucasian Infants, ICOMS, Vienna. CiteID: 4099 |
| • | Bülthoff HH , von der Heyde M and Berger DR (July-25-2005) Cognitive influences on self-rotation perception, 1st International Conference on Augmented Cognition, Las Vegas, NV, USA. n this study we examined the types of information that can influence the perception of upright (yaw) rotations. Specifically, we examined the influence of stimulus magnitude, task-induced attention and awareness of inter-sensory conflicts on the weights of visual and body cues. <br> <br> Participants had to reproduce rotations that were presented as simultaneous physical body turns (via a motion platform) and visual turns displayed as a rotating scene. During the active reproduction stage, conflicts between the body and visual rotations were introduced by means of gain factors. Participants were instructed to reproduce either the visual scene rotation or the body rotation. After each trial participants reported whether or not they had perceived a conflict.<br> <br> We found significant influences of the magnitude of the rotation, attention condition (instruction to re produce platform or scene rotation), and reported awareness of a sensory conflict during the reproduction phase. Attention had a larger influence on the response of the participants when they noticed a conflict compared to when they did not perceive a conflict. Attention biased their response towards the attended modality. <br> <br> Our results suggest that not only the stimulus characteristics, but also cognitive factors play a role in the estimation of the size of a rotation in an active turn reproduction task. CiteID: 4221 |
| • | Bülthoff HH (June-19-2005) Keynote Lecture: Multimodal Sensor Fusion in Man and Machine, Robotics Science and Systems, MIT, Cambridge, USA. CiteID: 3477 |
| • | Bülthoff HH (May-16-2005) Perception and Action in Virtual Environments, Department of Psychology, Trinity Colledge, Dublin, Ireland. CiteID: 3440 |
| • | Bülthoff HH (May-6-2005) Novel Egomotion Simulators, Visison Science Society (Panel presentation), Sarasota. CiteID: 3945 |
| • | Bülthoff HH (April-27-2005) Object Recognition in Man and Machine, ICTP workshop on Genes, Development and the Emergence of Behaviour, Psychophysics of Higher Cognitive Functions, Trieste, Italy. CiteID: 3439 |
| • | Bülthoff HH (April-6-2005) Psychophysics in the 21. Century, FhG-MPG Workshop "Mathematik / Informatik", Schloss Birlinghoven, Sankt Augustin, Germany. CiteID: 3360 |
| • | Bülthoff HH (March-4-2005) Wie kommt die Welt in den Kopf? -
Sehen und Erkennen in Natur und Technik, VDMA Mitgliederversammlung, Dresden, Germany. CiteID: 3240 |
| • | Bülthoff HH (February-28-2005) Einführung in die Wahrnehmungsforschung, Blockpraktikum Psychophysik, Tübingen. CiteID: 3848 |
| • | Bülthoff HH (January-21-2005) Perception and Action in Virtual Environments, NASA Ames Research Center, Moffet Field, Ca., USA. CiteID: 3197 |
| • | Bülthoff HH (January-20-2005) Perception and Action in Virtual Environments, Electronic Imaging 2005, VALVE workshop, San Jose, Ca., USA. CiteID: 3196 |
| • | Bülthoff HH (October-12-2004) Perspektiven der Wahrnehmungsforschung, Lions Club, Pforzheim, Germany. CiteID: 2977 |
| • | Bülthoff HH (September-17-2004) Object Recognition, European Summer School "Visual Neuroscience - from Spikes to Awareness", Schloss Rauischholzhausen, Germany. CiteID: 2978 |
| • | Bülthoff HH (August-6-2004) Object Recognition in Man and Machine, Object Recognition, Attention, and Action, COE, University of Kyoto, Japan. CiteID: 2979 |
| • | Bülthoff HH (May-29-2004) Artificial and Natural Vision, 3rd Peter Wallenberg Symposium Sensing and Feeling, Hanaholmen, Helsinki, Finnland. CiteID: 2980 |
| • | Bülthoff HH (May-26-2004) Categorization & Recognition of Structures, Events and Objects, Final Review meeting of the EU IST Project COGVIS, Stockholm, Sweden. CiteID: 2981 |
| • | Bülthoff HH (March-12-2004) Einführung in die Wahrnehmungsforschung, Blockpraktikum Psychophysik, Tübingen. CiteID: 3849 |
| • | Bülthoff HH (December-1-2003) Die hohe Kunst des Sehens. Oder: Was können die Computer noch vom Menschen lernen?, Siemens Stiftung, München, Germany. CiteID: 2982 |
| • | Bülthoff HH (November-28-2003) Perception and Action in Virtual Environments, MPG-Sektionssymposium, Berlin, Germany. CiteID: 2983 |
| • | Bülthoff HH (November-9-2003) Computational modeling of face recognition, Psychonomics, Vancouver, Canada. CiteID: 2984 |
| • | Bülthoff HH (October-27-2003) Keynote Lecture: Multimodal Sensor Fusion in the Human Brain, IROS 2003, Las Vegas, USA. CiteID: 2985 |
| • | Bülthoff HH (October-7-2003) Perception and Action in Virtual Environments, Telepresence and Teleaction, München, Germany . CiteID: 2986 |
| • | Bülthoff HH , von der Heyde M , Riecke BE and Schulte-Pelkum J (October-2003) Circular vection is facilitated by a consistent photorealistic scene, Proceedings of Presence 20031-5. Full paper of talk presented at Presence 2003, Aalborg, Denmark CiteID: 2505 |
| • | Bülthoff HH (September-20-2003) State of the art lecture, 6. Bamberger Morphologietage, Bamberg, Germany. CiteID: 2987 |
| • | Bülthoff HH (July-3-2003) Virtuelle Welten: Ein neuer Weg zur Erforschung des Gehirns, Neurobiologisches Kolloquium der Universität Oldenburg, Oldenburg. CiteID: 2988 |
| • | Bülthoff HH (May-6-2003) Human Psychophysics and Presence, Telecom Italia Future Center, San Salvador, Venice, Italy. CiteID: 2989 |
| • | Bülthoff HH (January-23-2003) What Computers can't do yet: See and Feel, 38th Winter Seminar, Klosters, Switzerland. CiteID: 2990 |
| • | Bülthoff HH (January-21-2003) Wie kommt die Welt in den Kopf? - Sehen und Erkennen in Natur und Technik, FH Darmstadt (University of Applied Sciences) FB Mathematik und Naturwissenschaften, Darmstadt, Germany. CiteID: 2991 |
| • | Bülthoff HH (January-14-2003) Keynote lecture: Biomorphic Robotics, FET Information Event "Beyond Robotics", Brussels, Belgium. CiteID: 2992 |
| • | Bülthoff HH (January-8-2003) Le codage égocentrique dans la perception visuelle et haptique des objets.
(En anglais avec résumé en français)
(Discutant: Dr Daniel Bennequin), Chaire de Physiologie de la Perception et de l‘Action M. Alain BERTHOZ, Professeur, Institut de Mathématiques, College de France, Paris, France. CiteID: 2993 |
| • | Bülthoff HH (November-30-2002) Virtual Reality as a Tool to Study Human Perception and Cognition, IEEE Visualization 2002, Boston, USA. CiteID: 3017 |
| • | Bülthoff HH (November-28-2002) Wie kommt die Welt in den Kopf? - Sehen und Erkennen in Natur und Technik, AMBASSADOR CLUB, Bamberg, Germany. CiteID: 3018 |
| • | Bülthoff HH (October-23-2002) Objekterkennung in Biologie und Technik., Kolloquium des Instituts für Kognitionswissenschaft, Osnabrück, Germany. CiteID: 3019 |
| • | Bülthoff HH (October-4-2002) Wie kommt die Welt in unseren Kopf?, "Salon", Tübingen, Germany. CiteID: 3020 |
| • | Bülthoff HH (September-19-2002) High-level Vision in Man and Machine., ETH Zürich, Zürich, Switzerland. CiteID: 3021 |
| • | Bülthoff HH (August-14-2002) View-Based Dynamic Object Recognition Based on Human Perception, 16th International Conference on Pattern Recognition (ICPR 2002), Québec, Canada. CiteID: 3022 |
| • | Bülthoff HH (July-9-2002) Virtuelle Welten: Ein neuer Weg zur Erforschung des Gehirns, Universität Mainz, Studium Generale, Mainz, Germany. CiteID: 3028 |
| • | Bülthoff HH (July-1-2002) San Bernardino Tunnel, Gestaltung und Tunnelsicherheit., HTW Chur, Chur, Switzerland. CiteID: 3024 |
| • | Bülthoff HH (June-1-2002) Image-based object recognition., SFB 517, International Symposium at the Hanse Wissenschaftskolleg, Delmenhorst, Germany. CiteID: 3025 |
| • | Bülthoff HH (March-19-2002) Image-based object recognition in man and machines., University of Southern California, Los Angeles, USA. CiteID: 3027 |
| • | Bülthoff HH (March-18-2002) Image-based object recognition in man and machines., California Institute of Technology (Caltech), Pasadena, USA. CiteID: 3026 |
| • | Bülthoff HH (December-8-2001) Recognition with local features under illumination changes., CVPR (IEEE Conference on Computer Vision and Pattern Recognition), Kauai, Hawaii. CiteID: 3033 |
| • | Bülthoff HH (November-26-2001) Biologische und maschinelle Objekterkennung, Universität Bremen, Vortrag im SFB 517 - Neurokognition, Montagskolloquium im SFB, Bremen, Germany. CiteID: 3036 |
| • | Bülthoff HH (November-20-2001) Dynamic Facial Expressions., EU Comic meeting, Brüssel, Belgien. CiteID: 3034 |
| • | Bülthoff HH (November-7-2001) Object and Face Recognition in Man and Machines, Mathematisches Forschungsinstitut, Oberwolfach, Germany. CiteID: 3035 |
| • | Bülthoff HH (October-18-2001) Object and Face Recognition in Man and Machines, Universität, Institut für Psychologie, Vortrag im Graduiertenkolleg, Berlin, Germany. CiteID: 3038 |
| • | Bülthoff HH (October-11-2001) Die Welt in unseren Köpfen: Sehen und Erkennen in Natur und Technik, Vortrag im Zeppelin Museum, Friedrichshafen, Germany. CiteID: 3037 |
| • | Bülthoff HH (August-24-2001) Object and Face Recognition in Man and Machines, Stanford University, Psych. Department, Stanford, USA. CiteID: 3039 |
| • | Bülthoff HH (August-7-2001) Object and Face Recognition in Man and Machines, University of Berkeley, USA. CiteID: 3041 |
| • | Bülthoff HH (July-30-2001) Image-based object recognition in man and machines, ICRA (IEEE International Symposium on Computational Intelligence in Robotics and Automation), Vortrag im workshop: "Vision-based object recognition in Robotics, BANFF, Kanada. CiteID: 3040 |
| • | Bülthoff HH (July-30-2001) Dynamic Aspects of Object and Face Recognition, Stockholm Workshop on Computational Vision, Rosenon, Schweden. CiteID: 3042 |
| • | Bülthoff HH (June-28-2001) Sehen und Erkennen in Natur und Technik (und Kunst), Dissertationswettbewerb, MPI für Psychologische Forschung, München, Germany. CiteID: 3043 |
| • | Bülthoff HH (November-29-2000) Image-based object recognition, gemeinsames Forschungskolloquium "Theoretische und Experimentelle Kognitions-Psychologie" des Max Planck Instituts für Psychologische Forschung der der Allgemeinen und Experimentellen Psychologie der Ludwig-Maximilians-Universität München LMU, München, Germany. CiteID: 3069 |
| • | Bülthoff HH (November-3-2000) Image-based Object Recognition, University of Glasgow, Psychology Department, Glasgow, UK. CiteID: 3070 |
| • | Bülthoff HH (October-27-2000) Image-based Object Recognition, University of Zurich, Institute of Neuroinformatics, Zürich, Switzerland. CiteID: 3071 |
| • | Bülthoff HH (August-27-2000) Visual, Haptic and Vestibular Cue Integration, European Conference on Visual Perception, Groningen, Netherlands. CiteID: 3072 |
| • | Bülthoff HH (June-26-2000) Keynote Lecture: Computer Graphics Psychophysics, Eurographics Workshop on Rendering Techniques 2000, Brno, Czech Republic. CiteID: 3073 |
| • | Bülthoff HH (June-23-2000) Image-based Object Recognition, Ecole Polytechnique & LPPA (College de France), Paris, France. CiteID: 3074 |
| • | Bülthoff HH (May-15-2000) Image-based Object Recognition and Example-based Face Synthesis, First Internat. Conf. on Biological Motivated Computer Vision, Seoul, Korea. CiteID: 3075 |
| • | Bülthoff HH (February-25-2000) Multisensory Recognition of Objects, 3. Tübinger Wahrnehmungskonferenz, Tübingen, Germany. CiteID: 3076 |
| • | Bülthoff HH (February-12-2000) Recognition and Navigation in Virtual Environments, IHEAR Workshop on Acoustic Ecology, Vancouver, Canada. CiteID: 3077 |
| • | Bülthoff HH (January-22-2000) Image-based Recognition in Man, Monkey and Machines, Interdisziplinäres Kolloquium, Klosters, Schweiz. CiteID: 3078 |
| • | Bülthoff HH (November-25-1999) Die Welt in unseren Köpfen: Sehen und Erkennen in Natur und Technik, Universität Kaiserslautern, Studium Integrale, Kaiserslautern, Germany. CiteID: 3079 |
| • | Bülthoff HH (November-12-1999) How to cheat and get away with it or what computer graphics can learn from human psychophysics, Eberhard-Karls Universität, Wilhelm-Schickard Institut für Informatik (WSI-GRIS), Tübingen, Germany. CiteID: 3080 |
| • | Bülthoff HH (October-3-1999) Die Welt in unseren Köpfen: Sehen und Erkennen in Natur und Technik, Symposium "Turm der Sinne", Nürnberg, Germany. CiteID: 3081 |
| • | Bülthoff HH (August-16-1999) Recognition of objects and scenes in virtual and real environments, Smith-Kettlewell Institute, San Francisco, USA. CiteID: 3082 |
| • | Bülthoff HH (August-10-1999) Image-based strategies in man, monkeys, and machines, SIGGRAPH Conference, Los Angeles, USA. CiteID: 3083 |
| • | Bülthoff HH (July-21-1999) Multisensory recognition of objects and scenes, ATR symposium on face and object recognition, Kyoto, Japan. CiteID: 3085 |
| • | Bülthoff HH (June-30-1999) Virtuelle Realität: ein methodisches Werkzeug bei Untersuchungen des Sehsystems, Neurologische Klinik, Freiburg, Germany. CiteID: 3084 |
| • | Bülthoff HH (May-19-1999) Using virtual reality technology to study the human representation of space and objects, Werner Reimers Stiftung, Bad Homburg, Germany. CiteID: 3086 |
| • | Bülthoff HH (March-23-1999) Die hohe Kunst des Sehens: Erkennen in Natur und Technik, Hospitalhof Stuttgart: Evangelisches Bildungswerk, Stuttgart, Germany. CiteID: 3087 |
| • | Bülthoff HH (October-30-1998) Sixth Kanizsa Lecture: Perception and Action: Controlling the loop using Virtual Realities, University of Trieste, Trieste, Italy. CiteID: 3088 |
| • | Bülthoff HH (August-26-1998) Vision in a Natural Environment, Keynote Lecture at the 21st European Conference on Visual Perception, Oxford, England. CiteID: 3089 |
| • | Bülthoff HH (August-5-1998) View-based Recognition and Navigation in Natural Environments, The 1998 Stockholm Workshop on Computational Vision, Rosenön, Sweden. CiteID: 3090 |
| • | Bülthoff HH (June-25-1998) View-based Strategies for Recognition and Navigation, ENA Workshop on Neuroinformatics, Potsdam, Germany. CiteID: 3091 |
| • | Bülthoff HH (June-19-1998) Wahrnehmen und Agieren im Raum, Universität Zürich. Psychologisches Institut, Zürich, Switzerland. CiteID: 3092 |
| • | Bülthoff HH (April-20-1998) Gehirn und Wahrnehmung: Neueste Erkenntnisse aus der Hirnforschung, HNF Paderborn, Paderborn, Germany. CiteID: 3093 |
| • | Bülthoff HH (April-5-1998) Vision in the Perception Action Framework, Symposium The Neurology of Vision: New Vistas, Tübingen, Germany. CiteID: 3094 |
| • | Bülthoff HH (February-18-1998) Die Welt in unseren Köpfen: Sehen und Erkennen in Natur und Technik, Deutsches Museum, München, Germany. CiteID: 3095 |
| • | Bülthoff HH (February-12-1998) Sehen und Erkennen in Technik und Biologie, Naturforschende Gesellschaft Graubünden, Chur, Switzerland. CiteID: 3096 |
| • | Bülthoff HH (January-23-1998) Bild-basierte Objekterkennung, Universität Marburg, Marburg, Germany. CiteID: 3097 |
| • | Bülthoff HH (October-12-1997) Computational theory of vision, Summerschool Graduierten Kolleg (GKN), Konstanz, Germany. CiteID: 3098 |
| • | Bülthoff HH (October-3-1997) Scene recognition in virtual environments, Conference on Vision for Reach and Grasp, Minneapolis, USA. CiteID: 3099 |
| • | Bülthoff HH (September-3-1997) View-based object recognition, 4eme Assises de Programme de Recherche en Sciences Cognitives de Toulouse, Toulouse, Frankreich. CiteID: 3100 |
| • | Bülthoff HH (April-4-1997) View-based shape representation, Spring School Conference, Utrecht, Netherlands. CiteID: 3101 |
| • | Bülthoff HH (March-25-1997) The view-based approach to object recognition, scene perception and biological motion, Conference on Active Vision in Animals and Machines, Berlin, Germany. CiteID: 3102 |
| • | Bülthoff HH (January-8-1997) View-based representations, navigation and biological motion perception, AVM 97, St.-Francois-Longchamps, France. CiteID: 3103 |
| • | Bülthoff HH (July-22-1996) Integration of Visual Cues, Neuroinformatik Symposium, Schloß Reisensburg, Germany. CiteID: 3105 |
| • | Bülthoff HH (May-28-1996) Psychophysik des Sehens, Bundesministerium für Bildung und Forschung, Bonn, Germany. CiteID: 3106 |
| • | Bülthoff HH (January-26-1996) Object and Face Recognition, NHK Corporation, Tokyo, Japan. CiteID: 3107 |
| • | Bülthoff HH (January-26-1996) View-based object recognition and navigation, IEICE Technical Meeting, Tokyo, Japan. CiteID: 3108 |
| • | Bülthoff HH (January-23-1996) View-based object recognition: the role of parts, symmetry and illumination, ATR Symposium on Face and Object Recognition, Kyoto, Japan. CiteID: 3109 |
| • | Bülthoff HH (December-7-1995) Psychophysical support for image-based object recognition, Second Asian Conference on Computer Vision, Singapore. CiteID: 3110 |
| • | Bülthoff HH (September-15-1995) Recognition and navigation in virtual realities, Bristish Association - Annual Festival of Science, University of Newcastle, Newcastle upon Tyne, England. CiteID: 3111 |
| • | Bülthoff HH (June-29-1995) Objekterkennung und Raumorientierung ohne drei-dimensionale Repräsentation, Universität Ulm, Fakultät für Informatik, Abtlg. Neuroinformatik, Ulm, Germany. CiteID: 3112 |
| • | Bülthoff HH (June-22-1995) Sprache, Sehen, Gedächtnis: Neue Methoden der Hirnforschung, Hauptversammlung der Max-Planck Gesellschaft, Potsdam, Germany. CiteID: 3113 |
| • | Bülthoff HH (June-12-1995) Objekterkennung und Raumorientierung ohne drei-dimensionale Repräsentation, Universität Bremen, Institut für Hirnforschung, Bremen, Germany. CiteID: 3114 |
| • | Bülthoff HH (March-13-1995) How are three-dimensional objects represented in the brain?, AT&T, Bell Laboratories, Holmdel, USA. CiteID: 3115 |
| • | Bülthoff HH (March-12-1995) Image-based Object Recognition, NECI workshop, Princeton, USA. CiteID: 3116 |
| • | Bülthoff HH (December-14-1994) Drei-dimensionale Objekterkennung ohne drei-dimensionale Repräsentation, Universität Bremen, Informatik-AG KI, Bremen, Germany. CiteID: 3117 |
| • | Bülthoff HH (December-12-1994) Drei-dimensionale Objekterkennung ohne drei-dimensionale Repräsentation, Institut für Biologie II, Aachen, Germany. CiteID: 3118 |
| • | Bülthoff HH (November-24-1994) Drei-dimensionale Objekterkennung ohne drei-dimensionale Repräsentation, Max-Planck Institut für psychologische Forschung, München, Germany. CiteID: 3119 |
| • | Bülthoff HH (October-2-1994) Psychophysical support for a Bayesian framework for depth-cue integration, OSA Conference invited talk, Dallas, USA. CiteID: 3120 |
| • | Bülthoff HH (September-6-1994) Image-based Object Recognition: Psychophysics, ENA conference, Vienna, Austria. CiteID: 3121 |
| • | Bülthoff HH (July-11-1994) A Bayesian Framework for the Integration of Depth Cues, A&P Conference, Kyoto, Japan. CiteID: 3122 |
| • | Bülthoff HH (July-7-1994) A Bayesian Framework for the Integration of Depth Cues, Stereo-Workshop, Tübingen, Germany. CiteID: 3123 |
| • | Bülthoff HH (June-30-1994) Virtual Reality: Ein Werkzeug in der psychophysischen Gehirnforschung, Studium Generale, Tübingen, Germany. CiteID: 3124 |
| • | Bülthoff HH (April-9-1994) How are three-dimensional objects represented in the brain?, Object Recognition Symposium, Syracuse, USA. CiteID: 3125 |
| • | Bülthoff HH (January-27-1994) Does the Seeing Brain know Physics?, Neurokolloquium, Tübingen, Germany. CiteID: 3126 |
| • | Bülthoff HH (April-26-1993) 3D Objekterkennung ohne 3D Repräsentation, University of Bremen, Bremen, Germany. CiteID: 3150 |
| • | Bülthoff HH (January-6-1993) Ideal observers and psychophysics: shape from texture, Chatham meeting on "Perception as Bayesian Inference", Cape Cod, MA., USA. CiteID: 3151 |
| • | Bülthoff HH (January-5-1993) A Bayesian approach to sensor fusion: strong coupling and competitive priors, Chatham meeting on "Perception as Bayesian Inference", Cape Cod, MA., USA. CiteID: 3152 |
| • | Bülthoff HH (October-28-1992) 3D Object Recognition without 3D Object Representation, University of Western Ontario, London, Ontario. CiteID: 3129 |
| • | Bülthoff HH (April-20-1992) Psychophysical support for a 2D view interpolation theory of object recognition, Harvard University, Cambridge, MA., USA. CiteID: 3130 |
| • | Bülthoff HH (April-3-1992) Integration of Visual Modules, Boston University, Boston, MA., USA. CiteID: 3132 |
| • | Bülthoff HH (January-30-1992) 3D Object Recognition by 2D View Interpolation: more evidence from human and monkey psychophysics, Weizmann Institute, Rehovot, Israel. CiteID: 3127 |
| • | Bülthoff HH (January-28-1992) Computer Graphics Psychophysics of early, middle and highlevel vision, IAICV conference plenary talk, Ramt-Gan, Israel. CiteID: 3128 |
| • | Bülthoff HH (January-10-1992) Learning to Recognize 3D Objects from a small set of 2D Images, M.I.T. Endicott House Learning Meeting, Boston, MA, USA. CiteID: 3131 |
| • | Bülthoff HH (December-6-1991) Psychophysical support for a 2D view interpolation theory of object recognition, Neural Information Processing Workshop on Self-Organization and Unsupervised Learning in Vision, Vail, CO., USA. CiteID: 3133 |
| • | Bülthoff HH (October-21-1991) Computer Graphik Psychophysik: Ein neuer Ansatz zur Aufklärung kognitiver Sehleistungen, Max Planck Institut für biologische Kybernetik, Tübingen, Germany. CiteID: 3134 |
| • | Bülthoff HH (September-29-1991) Evaluating Object Recognition Theories by Computer Graphics Psychophysics, Dahlem Workshop on Exploring Brain Functions: Models in Neuroscience, Berlin, Germany. CiteID: 3135 |
| • | Bülthoff HH (September-25-1991) Learning and Object Recognition: from Computation to Psychophysics, Caltech, Pasadena, CA., USA. CiteID: 3136 |
| • | Bülthoff HH (May-17-1991) 3D Object Recognition without 3D Object Representation, Baylor College of Medicine, Houston, TX., USA. CiteID: 3137 |
| • | Bülthoff HH (April-25-1991) 3D Object Recognition without 3D Object Representation., Yale University, Department of Psychology, New Haven, CT., USA. CiteID: 3138 |
| • | Bülthoff HH (March-6-1991) 3D Object Recognition without 3D Object Representation., MIT, Department of Brain and Cognitive Sciences, Cambridge, MA., USA . CiteID: 3139 |
| • | Bülthoff HH (November-6-1990) Shape from X: psychophysics and computation, SPIE Conference on Sensor Fusion III: 3-D Perception and Recognition, Boston, MA., USA. CiteID: 3142 |
| • | Bülthoff HH (November-3-1990) Bildzentrierte Repräsentationen in dreidimensionaler Objekterkennung, Universität Ulm, Lehrstuhl für Informatik, Ulm, Germany. CiteID: 3141 |
| • | Bülthoff HH (September-3-1990) Integration von Modulen zur Wahrnehmung von Oberflächen und Objekten, Max Planck Institut für biologische Kybernetik, Tübingen, Germany. CiteID: 3143 |
| • | Bülthoff HH (August-30-1990) Integration von Modulen zur Wahrnehmung von Oberflächen und Objekten, Ruhr-Universität Bochum. Lehrstuhl für Neuroinformatik, Bochum, Germany. CiteID: 3144 |
| • | Bülthoff HH (July-26-1990) Integration of various cues to depth, THE RANK PRIZE FUNDS, Neural Representation of 3-D Space, Grasmere, UK. CiteID: 3145 |
| • | Bülthoff HH (July-12-1990) Integration of Depth Modules, Robotics System Design Department of Computer Science Industrial Partners Program, Brown University, Providence, RI. USA. CiteID: 3146 |
| • | Bülthoff HH (March-28-1990) Integration of Depth Information, Conference on "Computational Models in Vision'', Trieste, Italy. CiteID: 3148 |
| • | Bülthoff HH (March-14-1990) Does the Seeing Brain know Physics, Department of Applied Mathematics, Brown University, Providence, RI., USA. CiteID: 3147 |
Books (3): | |
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Curio C
 , Bülthoff HH and : Dynamic Faces: Insights from Experiments and Computation, 288, MIT Press, Cambridge, MA, USA, (October-2010).
ISBN: 978-0-262-01453-3
 
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| • |
von der Heyde M
and Bülthoff HH : Perception and Action in Virtual Environments: selected papers from the Cognitive and Computational Psychophysics Department, 416, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2000).
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| • |
and Bülthoff HH
: Object Recognition in Man, Monkey, and Machine, 217, MIT Press, Cambridge, MA, USA, (March-1999).
ISBN: 978-0-262-70070-2
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Proceedings (14): | |
| • |
Bülthoff HH , Chatziastros A , Mallot HA and : 10th Tübingen Perception Conference: TWK 2007, 10th Tübinger Wahrnehmungskonferenz, 163, Knirsch, Kirchentellinsfurt, Germany, (July-2007). 978-3-927091-77-1
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Bülthoff HH , Gillner S , Mallot HA and : 9th Tübingen Perception Conference: TWK 2006, 9th Tübinger Wahrnehmungskonferenz, 177, Knirsch, Kirchentellinsfurt, Germany, (March-2006). 3-927091-73-1
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Bülthoff HH , Mallot HA , and Wichmann FA : 8th Tübingen Perception Conference: TWK 2005, 8th Tübinger Wahrnehmungskonferenz, 202, Knirsch, Kirchentellinsfurt, Germany, (February-2005). 3-927091-70-7
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, Bülthoff HH and Mallot HA : Dynamic Perception: Workshop of the GI Section "Computer Vision", 5th Workshop on Dynamic Perception 2004, 253, Akademische Verlagsgesellschaft, Berlin, Germany, (November-2004). 3-89838-059-9 |
| • |
Rasmussen CE , Bülthoff HH , and Schölkopf B : Pattern Recognition: 26th DAGM Symposium, 26th Pattern Recognition Symposium, 581, Springer, Berlin, Germany, (August-2004). 978-3-540-22945-2
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Bülthoff HH , Mallot HA , and Wichmann FA : 7th Tübingen Perception Conference: TWK 2004, TWK 2004, 198, Knirsch, Kirchentellinsfurt, Germany, (January-2004). 3-927091-68-5
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Bülthoff HH , , and Wallraven C : Biologically Motivated Computer Vision: Second International Workshop, 2nd International Workshop on Biologically Motivated Computer Vision (BMCV 2002), 662, Springer, Berlin, Germany, (August-2003). 3-540-00174-3
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Bülthoff HH , Gegenfurtner K , Mallot HA , and Wichmann FA : 6. Tübinger Wahrnehmungskonferenz, Sixth Perception Conference at Tübingen (TWK 2003), 183, Knirsch, Kirchentellinsfurt, Germany, (February-2003). 3-927091-62-6
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Bülthoff HH , Gegenfurtner K , Mallot HA and : TWK 2002 : Beiträge zur 5. Tübinger Wahrnehmungskonferenz, 5. Tübinger Wahrnehmungskonferenz (TWK 2002), 222, Knirsch, Kirchentellinsfurt, Germany, (February-2002). 3-927091-56-1
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Bülthoff HH , Gegenfurtner K , Mallot HA and : TWK 2001: Beiträge zur 4. Tübinger Wahrnehmungskonferenz, 4. Tübinger Wahrnehmungskonferenz (TWK 2001), 184, Knirsch, Kirchentellinsfurt, Germany, (March-2001). 3-927091-54-5
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, Bülthoff HH and : Biologically Motivated Computer Vision: First IEEE International Workshop on Biologically Motivated Computer Vision (BMCV 2000), First IEEE International Workshop on Biologically Motivated Computer Vision (BMCV 2000), 656, Springer, Berlin, Germany, (May-2000). 978-3-540-67560-0
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Bülthoff HH , , Gegenfurtner K and Mallot HA : TWK 2000: Beiträge zur 3. Tübinger Wahrnehmungskonferenz, 3. Tübinger Wahrnehmungskonferenz (TWK 2000), 169, Knirsch, Kirchentellinsfurt, Germany, (February-2000). 3-927091-49-9
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Bülthoff HH , , Gegenfurtner K and Mallot HA : Beiträge zur 2. Tübinger Wahrnehmungskonferenz, 2. Tübinger Wahrnehmungskonferenz (TWK 1999), 134, Knirsch, Kirchentellinsfurt, Germany, (February-1999). 3-927091-45-6
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Bülthoff HH , , Gegenfurtner K and Mallot HA : Visuelle Wahrnehmung: Beiträge zur 1. Tübinger Wahrnehmungskonferenz, 1. Tübinger Wahrnehmungskonferenz (TWK 1998), 170, Knirsch, Kirchentellinsfurt, Germany, (February-1998). 3-927091-40-5
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Articles (172): | |
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Frankenstein J , Mohler BJ , Bülthoff HH and Meilinger T (February-2012) Is the Map in Our Head Oriented North?
Psychological Science 23(2) 120-125.
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Meilinger T , Franz G and Bülthoff HH (January-2012) From Isovists via Mental Representations to Behaviour: First Steps Toward Closing the Causal Chain
Environment and Planning B: Planning and Design 39(1) 48-62.
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Dopjans L , Bülthoff HH and Wallraven C (January-2012) Serial exploration of faces: Comparing vision and touch
Journal of Vision 12(1:6) 1-14.
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Franchi A , , Son HI , Bülthoff HH and Robuffo Giordano P (January-2012) Bilateral Teleoperation of Groups of Mobile Robots with Time-Varying Topology
IEEE Transaction on Robotics . accepted |
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Barnett-Cowan M , Meilinger T , Vidal M , Teufel H and Bülthoff HH (January-2012) MPI CyberMotion Simulator: Implementation of a novel motion simulator to investigate path integration in three dimensions
Journal of Visualized Experiments . accepted |
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Son HI , , and Bülthoff HH (January-2012) A Psychophysical Evaluation of Teleoperator's Viscosity Perception of Soft Environments
IEEE Transactions on Control Systems Technology . submitted |
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, Butler JS , , , Bülthoff HH and (January-2012) Detecting Changes in Self-motion Heading: A High-Density
Event-Related Potential Study of Vestibular Processing
Experimental Brain Research . submitted |
| • |
Curio C , , Breidt M , Kleiner M and Bülthoff HH (January-2012) Facial Action Perception After-Effects in Humans investigated by Animation
- . submitted |
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Son HI , Franchi A , , Kim J , Bülthoff HH and Robuffo Giordano P (January-2012) Human-Centered Design and Evaluation of Haptic Cueing for Teleoperation of Multiple Mobile Robots
IEEE Transactions on Systems, Man, and Cybernetics B: Cybernetics . submitted |
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Soyka F , Robuffo Giordano P , Barnett-Cowan M and Bülthoff HH (January-2012) Modeling direction detection thresholds for yaw rotations around an earth-vertical axis for arbitrary motion profiles
- . submitted |
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Campos JL , Butler JS and Bülthoff HH (January-2012) The effect of visual and proprioceptive gain change on the integration of visual and body-based cues when walking
- . in preparation |
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Butler JS , Campos JL and Bülthoff HH (January-2012) Visual-vestibular cue combination during temporal asynchrony
- . in preparation |
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Campos JL , Butler JS and Bülthoff HH (January-2012) Visual, proprioceptive, and inertial cue-weighting during travelled distance perception
- . in preparation |
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Fischer E , Bülthoff HH , Logothetis NK and Bartels A (January-2012) Human areas V3A and V6 compensate for self-induced planar visual motion
Neuron . in press |
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Neth CT , Souman JL , Engel D , , Bülthoff HH and Mohler BJ (January-2012) Velocity-Dependent Dynamic Curvature Gain for Redirected Walking
IEEE Transactions on Visualization and Computer Graphics 1-12. in press
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Fleming RW , Holtmann-Rice D and Bülthoff HH (December-2011) Estimation of 3D shape from image orientations
Proceedings of the National Academy of Sciences of the United States of America 108(51) 20438-20443.
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Souman JL , Robuffo Giordano P , , Frissen I , , , , Bülthoff HH and Ernst M (November-2011) CyberWalk: Enabling unconstrained omnidirectional walking through virtual environments
ACM Transactions on Applied Perception 8(4:25) 1-22.
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Dahl CD , Logothetis NK , Bülthoff HH and Wallraven C (October-2011) Second-Order Relational Manipulations Affect Both Humans and Monkeys
PLoS One 6(10) 1-7.
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Dodds TJ , Mohler BJ and Bülthoff HH (October-2011) Talk to the Virtual Hands: Self-Animated Avatars Improve Communication in Head-Mounted Display Virtual Environments
PLoS One 6(10) 1-12.
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Streuber S , , , Bülthoff HH and de la Rosa S (October-2011) The effect of social context on the use of visual information
Experimental Brain Research 214(2) 273-284.
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Schomaker J , Tesch J , Bülthoff HH and Bresciani JP (September-2011) It is all me: the effect of viewpoint on visual–vestibular recalibration
Experimental Brain Research 243(2-3) 245-256.
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Gaissert N , Bülthoff HH and Wallraven C (September-2011) Similarity and categorization: From vision to touch
Acta Psychologica 138(1) 219-230.
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Butler JS , Campos JL , Bülthoff HH and Smith ST (September-2011) The Role of Stereo Vision in Visual-Vestibular Integration
Seeing and Perceiving 24(5) 453-470.
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Reichenbach A , Bresciani J-P , , Bülthoff HH and Thielscher A (July-2011) Contributions of the PPC to online control of visually guided reaching movements assessed with fMRI-guided TMS
Cerebral Cortex 21(7) 1602-1612.
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Fischer E , Logothetis NK , Bülthoff HH and Bartels A (June-2011) Visual Motion Responses in the Posterior Cingulate Sulcus: A Comparison to V5/MT and MST
Cerebral Cortex Epub ahead 1-12.
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Ruddle RA , Volkova E and Bülthoff HH (June-2011) Walking improves your cognitive map in environments that are large-scale and large in extent
ACM Transactions on Computer-Human Interaction 18(2:10) 1-22.
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Ruddle RA , Volkova E , Mohler B and Bülthoff HH (May-2011) The effect of landmark and body-based sensory information on route knowledge
Memory & Cognition 39(4) 686-699.
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Barnett-Cowan M , Fleming RW , and Bülthoff HH (April-2011) Perceived Object Stability Depends on Multisensory Estimates of Gravity
PLoS ONE 6(4) 1-5.
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Soyka F , Robuffo Giordano P , Beykirch K and Bülthoff HH (March-2011) Predicting direction detection thresholds for arbitrary translational acceleration profiles in the horizontal plane
Experimental Brain Research 209(1) 95-107.
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Tcheang L , Bülthoff HH and (January-2011) Visual influences on path integration in darkness indicates a multimodal representation of large-scale space
Proceedings of the National Academy of Sciences of the United States of America 108(3) 1152-1157.
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Pilz KS , Vuong QC , Bülthoff HH and Thornton IM (January-2011) Walk this way: Approaching bodies can influence the processing of faces
Cognition 118(1) 17-31.
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Dahl CD , Logothetis NK , Bülthoff HH and Wallraven C (October-2010) The Thatcher illusion in humans and monkeys
Proceedings of the Royal Society of London B 277(1696) 2973-2981.
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Butler JS , Smith ST , Campos JL and Bülthoff HH (September-2010) Bayesian integration of visual and vestibular signals for heading
Journal of Vision 10(11) 1-13.
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