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The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition. These interconnected essays on three-dimensional visual object recognition present cutting-edge research by some of the most creative neuroscientific, cognitive, and computational scientists in the field. Cassandra Moore and Patrick Cavanagh take a classic demonstration, the perception of "two-tone" images, and turn it into a method for understanding the nature of object representations in terms of surfaces and the interaction between bottom-up and top-down processes. Michael J. Tarr and Isabel Gauthier use computer graphics to study whether viewpoint-dependent recognition mechanisms can generalize between exemplars of perceptually defined classes. Melvyn A. Goodale and G. Keith Humphrey use innovative psychophysical techniques to investigate dissociable aspects of visual and spatial processing in brain-injured subjects. D.I. Perrett, M.W. Oram, and E. Ashbridge combine neurophysiological single-cell data from monkeys with computational analyses for a new way of thinking about the mechanisms that mediate viewpoint-dependent object recognition and mental rotation. Shimon Ullman also addresses possible mechanisms to account for viewpoint-dependent behavior, but from the perspective of machine vision. Finally, Philippe G. Schyns synthesizes work from many areas, to provide a coherent account of how stimulus class and recognition task interact. The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition.
This book provides an introduction to human visual perception suitable for readers studying or working in the fields of computer graphics and visualization, cognitive science, and visual neuroscience. It focuses on how computer graphics images are generated, rather than solely on the organization of the visual system itself; therefore, the text pro
INSTICC organized the third edition of VISIGRAPP that took place in Funchal- Madeira, Portugal in January 2008 after successful previous editions. This book - cludes selected papers from VISIGRAPP 2008, the Joint Conference on Computer Vision Theory and Applications (VISAPP) and Computer Graphics Theory and - plications (GRAPP). The conference was intended to stimulate the exchange of ideas on the topics of c- puter vision and computer graphics. We received a high number of paper submissions: 374 in total for both conferences. We had contributions from more than 50 countries in all continents. This confirms the success and global dimension of these jointly organized conferences. After a rigorous double-blind evaluation method, 78 submissions were accepted as full papers. From those, 20 were selected for this book. To ensure the sci- tific quality of the contributions, these were selected from the ones that were evaluated with the highest scores by the VISIGRAPP Program Committee Members and then they were extended and revised by the authors. Special thanks go to all contributors and re- rees, without whom this book would not have been possible. VISIGRAPP 2008 also featured the comments of keynote speakers, in alphabetical order, Adrian Hilton (University of Surrey, UK), Geneviève Lucet (Computer S- vices for Research at the UNAM, Mexico), Peter Sturm (INRIA Rhône-Alpes, France) and Sharathchandra Pankanti (IBM - Exploratory Computer Vision Group, USA), who are internationally recognized researchers. The presentations represented an - portant contribution to the overall quality of the conference.
Normal adults do not have any difficulty in recognizing their homes. But can artificial systems do in the same way as humans? This book collects interdisciplinary evidences and presents an answer from the perspective of computing, namely, the theory of cognitive prism. To recognize an environment, an intelligent system only needs to classify objects, structures them based on the connection relation (not through measuring!), subjectively orders the objects, and compares with the target environment, whose knowledge is similarly structured. The intelligent system works, therefore, like a prism: when a beam of light (a scene) reaches (is perceived) to an optical prism (by an intelligent system), some light (objects) is reflected (are neglected), those passed through (the recognized objects) are distorted (are ordered differently). So comes the term 'cognitive prism'! Two fundamental propositions used in the theory can be informally stated as follow: an orientation relation is a kind of distance comparison relation -- you being in front of me means you being nearer to my face than to my other sides; a pair of objects being connected means any object, precisely the space occupied by the object, can be moved to a place where it connects with the pair.
This book examines the concept of “ Neurosemantics”, a term currently used in two different senses: the informational meaning of the physical processes in the neural circuits, and semantics in its classical sense, as the meaning of language, explained in terms of neural processes. The book explores this second sense of neurosemantics, yet in doing so, it addresses much of the first meaning as well. Divided into two parts, the book starts with a description and analysis of the mathematics of the brain, including computational units, representational mechanisms and algorithmic principles. This first part pays special attention to the neural architecture which has been used in developing models of neurosemantics. The second part of the book presents a collection of models, and describes each model reproducing specific aspects of the semantics of language. Some of these models target one of the core problems of semantics, the reference of nouns, and in particular of nouns with a strong perceptual characterization. Others address the semantics of predicates, with a detailed analysis of colour attributes. While this book represents a radical shift from traditional semantics, it still pursues a line of continuity that is based on the idea that meaning can be captured, and explained, by a sort of computation.
As the general notion of cognition has recently broadened to include its embodied nature, researchers' accounts of perception have increasingly come to include the body's special status as a window on the world and to accommodate the specific perceptual requirements for identifying, interpreting, and interacting with other bodies. This volume presents a comprehensive overview of the rapid progress that has been made in understanding the human body and its relationship to perception. It will help to unify the relevant research from several independent areas of cognitive psychology and cognitive neuroscience and facilitate the development of an integrated framework for the study of human-body perception.
Vision and memory are two of the most intensively studied topics in psychology and neuroscience. The present book concerns the interaction between vision and memory: How do we remember what we see? And how does our memory for the visual world influence subsequent perception and action? topics in psychology and neuroscience, and the intersection etween them--visual memory--is emerging as a fertile ground for research. Certain memory systems appear to specialize in This book provides a state-of-the-art account of visual memory systems. Each chapter is written by an internationally renowned researcher, who has made seminal contributions to the topic. The chapters are comprehensive, providing both a broad overview of each topic and a summary of the latest research. They also present new perspectives that advance our theoretical understanding of visual memory and suggest directions for future research. After an introductory overview by the editors, chapters address visual sensory memory (iconic memory), visual short-term memory, and the relationship between visual memory and eye movements. Visual long-term memory is then reviewed from several different perspectives, including memory for natural scenes, the relationship between visual memory and object recognition, and associative learning. The final chapters discuss the neural mechanisms of visual memory and neuropsychological deficits in visual memory. This book is a comprehensive guide to visual memory research that will be a valuable resource for both students and professionals.
Optic flow provides all the information necessary to guide a walking human or a mobile robot to its target. Over the past 50 years, a body of research on optic flow spanning the disciplines of neurophysiology, psychophysics, experimental psychology, brain imaging and computational modelling has accumulated. Today, when we survey the field, we find independent lines of research have now converged and many arguments have been resolved; simultaneously the underpinning assumptions of flow theory are being questioned and alternative accounts of the visual guidance of locomotion proposed. At this critical juncture, this volume offers a timely review of what has been learnt and pointers to where the field is going.
Psychology is a young science. It has made great strides over the past 100 or so years, to become one of the most rapidly growing of the sciences. This text brings together some of the most influential psychologists from the past 50 years to consider just how we got to where we are in psychology, and where we might be heading.
Humans are social beings that interact with others in their surroundings. In a public space, for example on a train platform, one can observe the wide array of social actions humans express in their daily lives. There are for instance people hugging each other, waving to one another or shaking hands. A large part of our social behavior consists of carrying out such social actions and the recognition of those actions facilitates our interactions with other people. Therefore, action recognition has become more and more popular as a research topic over the years. Actions do not only appear at our point of fixation but also in the peripheral visual field. The current Ph.D. thesis aims at understanding action recognition in the human central and peripheral vision. To this end, action recognition processes have been investigated under more naturalistic conditions than has been done so far. This thesis extends the knowledge about action recognition processes into more realistic scenarios and the far visual periphery. In four studies, life size action stimuli were used (I) to examine the action categorization abilities of central and peripheral vision, (II) to investigate the viewpoint-dependency of peripheral action representations, (III) to behaviorally measure the perceptive field sizes of action sensitive channels and (IV) to investigate the influence of additional actors in the visual scene on action recognition processes. The main results of the different studies can be summarized as follows. In Study I a high categorization performance for social actions throughout the visual field with a nonlinear performance decline towards the visual periphery was shown. Study II revealed a viewpoint-dependence of action recognition only in far visual periphery. In Study III large perceptive fields for action recognition were measured that decrease in size towards the periphery. And in Study IV no influence of a surrounding crowd of people on the recognition of actions in central vision and the visual periphery was shown. In sum, this thesis provides evidence that the abilities of peripheral vision have been underestimated and that peripheral vision might play a more important role in daily life than merely triggering gaze saccades to events in our environment.