Dynamics of Visual Motion Processing
Dynamics of Visual Motion Processing

Author: Guillaume S. Masson

Publisher: Springer Science & Business Media

Published: 2009-12-02

Total Pages: 362

ISBN-13: 1441907815

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Motion processing is an essential piece of the complex brain machinery that allows us to reconstruct the 3D layout of objects in the environment, to break camouflage, to perform scene segmentation, to estimate the ego movement, and to control our action. Although motion perception and its neural basis have been a topic of intensive research and modeling the last two decades, recent experimental evidences have stressed the dynamical aspects of motion integration and segmentation. This book presents the most recent approaches that have changed our view of biological motion processing. These new experimental evidences call for new models emphasizing the collective dynamics of large population of neurons rather than the properties of separate individual filters. Chapters will stress how the dynamics of motion processing can be used as a general approach to understand the brain dynamics itself.

High-level Motion Processing
High-level Motion Processing

Author: Takeo Watanabe

Publisher: MIT Press

Published: 1998

Total Pages: 438

ISBN-13: 9780262231954

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The contributors to this book focus on such key aspects of motion processing as interaction and integration between locally measured motion units, structure from motion, heading in an optical flow, and second-order motion. They also discuss the interaction of motion processing with other high-level visual functions such as surface representation and attention.

Computational Models of Visual Processing
Computational Models of Visual Processing

Author: Michael S. Landy

Publisher: MIT Press

Published: 1991

Total Pages: 420

ISBN-13: 9780262121552

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The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approaches represented range from neurophysiology to psychophysics, and from retinal function to the analysis of visual cues to motion, color, texture, and depth. The contributions are linked thematically by a consistent consideration of the links between empirical data and computational models in the study of visual function. An introductory chapter by Edward Adelson and James Bergen gives a new and elegant formalization of the elements of early vision. Subsequent sections treat receptors and sampling, models of neural function, detection and discrimination, color and shading, motion and texture, and 3D shape. Each section is introduced by a brief topical review and summary. ContributorsEdward H. Adelson, Albert J. Ahumada, Jr., James R. Bergen, David G. Birch, David H. Brainard, Heinrich H. Bülthoff, Charles Chubb, Nancy J. Coletta, Michael D'Zmura, John P. Frisby, Norma Graham, Norberto M. Grzywacz, P. William Haake, Michael J. Hawken, David J. Heeger, Donald C. Hood, Elizabeth B. Johnston, Daniel Kersten, Michael S. Landy, Peter Lennie, J. Stephen Mansfield, J. Anthony Movshon, Jacob Nachmias, Andrew J. Parker, Denis G. Pelli, Stephen B. Pollard, R. Clay Reid, Robert Shapley, Carlo L. M. Tiana, Brian A. Wandell, Andrew B. Watson, David R. Williams, Hugh R. Wilson, Yuede. Yang, Alan L. Yuille

Neuronal Dynamics
Neuronal Dynamics

Author: Wulfram Gerstner

Publisher: Cambridge University Press

Published: 2014-07-24

Total Pages: 591

ISBN-13: 1107060834

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This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Computer Vision - ECCV 2008
Computer Vision - ECCV 2008

Author: David Forsyth

Publisher: Springer

Published: 2008-10-11

Total Pages: 911

ISBN-13: 3540886931

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Welcome to the 2008EuropeanConference onComputer Vision. These proce- ings are the result of a great deal of hard work by many people. To produce them, a total of 871 papers were reviewed. Forty were selected for oral pres- tation and 203 were selected for poster presentation, yielding acceptance rates of 4.6% for oral, 23.3% for poster, and 27.9% in total. Weappliedthreeprinciples.First,sincewehadastronggroupofAreaChairs, the ?nal decisions to accept or reject a paper rested with the Area Chair, who wouldbeinformedbyreviewsandcouldactonlyinconsensuswithanotherArea Chair. Second, we felt that authors were entitled to a summary that explained how the Area Chair reached a decision for a paper. Third, we were very careful to avoid con?icts of interest. Each paper was assigned to an Area Chair by the Program Chairs, and each Area Chair received a pool of about 25 papers. The Area Chairs then identi?ed and rankedappropriatereviewersfor eachpaper in their pool, and a constrained optimization allocated three reviewers to each paper. We are very proud that every paper received at least three reviews. At this point, authors were able to respond to reviews. The Area Chairs then needed to reach a decision. We used a series of procedures to ensure careful review and to avoid con?icts of interest. ProgramChairs did not submit papers. The Area Chairs were divided into three groups so that no Area Chair in the group was in con?ict with any paper assigned to any Area Chair in the group.

Biologically Inspired Computer Vision
Biologically Inspired Computer Vision

Author: Gabriel Cristobal

Publisher: John Wiley & Sons

Published: 2015-08-20

Total Pages: 482

ISBN-13: 3527680470

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As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Dynamic Emotional Communication
Dynamic Emotional Communication

Author: Wataru Sato

Publisher: Frontiers Media SA

Published: 2020-02-12

Total Pages: 261

ISBN-13: 2889634604

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This eBook aims to deepen our understanding of emotional communication by introducing “dynamic” perspectives. Facial and bodily expressions of emotion functions as indispensable communicative signals for human beings. People decode the emotional information conveyed by facial/bodily expressions and use this to coordinate cooperative or competitive social relationships. Experimental psychological research has long investigated these important means of emotional communication. However, this was typically done by using static stimuli of facial/bodily expressions to assess the detection and interpretation of emotions. This paradigm was also adopted in neuropsychological, neurophysiological, and neuroimaging studies. Although researchers accumulated valuable information regarding the psychological and neural mechanisms underlying these processes, the static nature of the stimuli may have resulted in important phenomena remaining unexamined. Recently, scientists have begun to explore dynamic emotional communication, in particular by using dynamic facial/bodily expressions of emotion, instead of static photographs, as stimuli. This is having important consequences for emotion research. As dynamic emotional expressions have increased ecological validity and as there are differences in the visual processing of dynamic and static information, a host of novel aspects of the psychological and neural processing of emotional expressions have been elucidated. For example, it has been shown that motor resonance and the recruitment of motor areas are fundamental to dynamic emotional communication. Researchers have also started to investigate the encoding of dynamic emotional interactions and have clarified the messages embedded in the temporal aspects and the patterns of reciprocal inter-individual coordination. Moreover, investigations of dynamic emotional communication have identified heretofore unrecognized impairments in the social functioning of individuals with psychiatric disorders, such as autism spectrum disorder and schizophrenia.