Spatio Temporal Signatures For Object Recognition
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Spatio Temporal Signatures For Object Recognition
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Author : Quoc C. Vuong
language : en
Publisher:
Release Date : 2004
Spatio Temporal Signatures For Object Recognition written by Quoc C. Vuong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Perception categories.
Spatio Temporal Dynamics Of Object Recognition A Study Of Closure Processes
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Author : Pejman Sehatpour
language : en
Publisher:
Release Date : 2005
Spatio Temporal Dynamics Of Object Recognition A Study Of Closure Processes written by Pejman Sehatpour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Invariant Recognition Of Visual Objects
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Author : Evgeniy Bart
language : en
Publisher: Frontiers E-books
Release Date :
Invariant Recognition Of Visual Objects written by Evgeniy Bart and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
This Research Topic will focus on how the visual system recognizes objects regardless of variations in the viewpoint, illumination, retinal size, background, etc. Contributors are encouraged to submit articles describing novel results, models, viewpoints, perspectives and/or methodological innovations relevant to this topic. The issues we wish to cover include, but are not limited to, perceptual invariance under one or more of the following types of image variation: • Object shape • Task • Viewpoint (from the translation and rotation of the object relative to the viewer) • Illumination, shading, and shadows • Degree of occlusion • Retinal size • Color • Surface texture • Visual context, including background clutter and crowding • Object motion (including biological motion). Examples of questions that are particularly interesting in this context include, but are not limited to: • Empirical characterizations of properties of invariance: does invariance always exist? How wide is its range and how strong is the tolerance to viewing conditions within this range? • Invariance in naïve vs. experienced subjects: Is invariance built-in or learned? How can it be learned, under which conditions and how effectively? Is it learned incidentally, or are specific task and reward structures necessary for learning? How is generalizability and transfer of learning related to the generalizability/invariance of perception? • Invariance during inference: Are there conditions (e.g. fast presentation time or otherwise resource-constrained recognition) when invariance breaks? • What are some plausible computational or neural mechanisms by which invariance could be achieved?
Face Image Analysis By Unsupervised Learning
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Author : Marian Stewart Bartlett
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Face Image Analysis By Unsupervised Learning written by Marian Stewart Bartlett and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Face Image Analysis by Unsupervised Learning explores adaptive approaches to image analysis. It draws upon principles of unsupervised learning and information theory to adapt processing to the immediate task environment. In contrast to more traditional approaches to image analysis in which relevant structure is determined in advance and extracted using hand-engineered techniques, Face Image Analysis by Unsupervised Learning explores methods that have roots in biological vision and/or learn about the image structure directly from the image ensemble. Particular attention is paid to unsupervised learning techniques for encoding the statistical dependencies in the image ensemble. The first part of this volume reviews unsupervised learning, information theory, independent component analysis, and their relation to biological vision. Next, a face image representation using independent component analysis (ICA) is developed, which is an unsupervised learning technique based on optimal information transfer between neurons. The ICA representation is compared to a number of other face representations including eigenfaces and Gabor wavelets on tasks of identity recognition and expression analysis. Finally, methods for learning features that are robust to changes in viewpoint and lighting are presented. These studies provide evidence that encoding input dependencies through unsupervised learning is an effective strategy for face recognition. Face Image Analysis by Unsupervised Learning is suitable as a secondary text for a graduate-level course, and as a reference for researchers and practitioners in industry.
Perception Of Faces Objects And Scenes
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Author : Mary A. Peterson
language : en
Publisher: Oxford University Press
Release Date : 2003-05-22
Perception Of Faces Objects And Scenes written by Mary A. Peterson and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-05-22 with Psychology categories.
From a barrage of photons, we readily and effortlessly recognize the faces of our friends, and the familiar objects and scenes around us. However, these tasks cannot be simple for our visual systems--faces are all extremely similar as visual patterns, and objects look quite different when viewed from different viewpoints. How do our visual systems solve these problems? The contributors to this volume seek to answer this question by exploring how analytic and holistic processes contribute to our perception of faces, objects, and scenes. The role of parts and wholes in perception has been studied for a century, beginning with the debate between Structuralists, who championed the role of elements, and Gestalt psychologists, who argued that the whole was different from the sum of its parts. This is the first volume to focus on the current state of the debate on parts versus wholes as it exists in the field of visual perception by bringing together the views of the leading researchers. Too frequently, researchers work in only one domain, so they are unaware of the ways in which holistic and analytic processing are defined in different areas. The contributors to this volume ask what analytic and holistic processes are like; whether they contribute differently to the perception of faces, objects, and scenes; whether different cognitive and neural mechanisms code holistic and analytic information; whether a single, universal system can be sufficient for visual-information processing, and whether our subjective experience of holistic perception might be nothing more than a compelling illusion. The result is a snapshot of the current thinking on how the processing of wholes and parts contributes to our remarkable ability to recognize faces, objects, and scenes, and an illustration of the diverse conceptions of analytic and holistic processing that currently coexist, and the variety of approaches that have been brought to bear on the issues.
Object Categorization
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Author : Sven J. Dickinson
language : en
Publisher: Cambridge University Press
Release Date : 2009-09-07
Object Categorization written by Sven J. Dickinson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-07 with Computers categories.
A unique multidisciplinary perspective on the problem of visual object categorization.
Space Object Identification Using Spatio Temporal Pattern Recognition
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Author : Gary W. Brandstorm
language : en
Publisher:
Release Date : 1995
Space Object Identification Using Spatio Temporal Pattern Recognition written by Gary W. Brandstorm and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Artificial satellites categories.
Representational Momentum
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Author : Ian M. Thornton
language : en
Publisher: Psychology Press
Release Date : 2002
Representational Momentum written by Ian M. Thornton and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Medical categories.
Visual experience of the world is characterised as much by movement and change as it is by permanence and stability. Understanding how the brain processes dynamic information poses major challenges for theories of cognition and perception. Are dynamic and static objects represented in the same way? How do we extract stability from dynamics? How can we successfully interact with moving objects and overcome the known neural delays of our sensory systems? Representational momentum - the tendency for observers to misremember the stopping point of a perceived event as being further ahead in the depicted direction of motion and/or change - has played an important role in attempts to address such questions. Research on representational momentum has given rise to the concept of "dynamic mental representations", helped popularise a range of methods for probing memory for visual objects and events, and inspired a broader consideration of anticipation and localisation during perception, cognition, and action. This collection of papers brings together work from many of the leading experts in representational momentum research, and more generally, from the fields of object localization and dynamics. In addition to presenting new findings from behavioural and neuroimaging studies, this collection also includes several new attempts to link this area of work with broader issues in the perception and representation of dynamic objects.
How Humans Recognize Objects Segmentation Categorization And Individual Identification
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Author : Chris Fields
language : en
Publisher: Frontiers Media SA
Release Date : 2016-08-18
How Humans Recognize Objects Segmentation Categorization And Individual Identification written by Chris Fields and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-18 with Psychology categories.
Human beings experience a world of objects: bounded entities that occupy space and persist through time. Our actions are directed toward objects, and our language describes objects. We categorize objects into kinds that have different typical properties and behaviors. We regard some kinds of objects – each other, for example – as animate agents capable of independent experience and action, while we regard other kinds of objects as inert. We re-identify objects, immediately and without conscious deliberation, after days or even years of non-observation, and often following changes in the features, locations, or contexts of the objects being re-identified. Comparative, developmental and adult observations using a variety of approaches and methods have yielded a detailed understanding of object detection and recognition by the visual system and an advancing understanding of haptic and auditory information processing. Many fundamental questions, however, remain unanswered. What, for example, physically constitutes an “object”? How do specific, classically-characterizable object boundaries emerge from the physical dynamics described by quantum theory, and can this emergence process be described independently of any assumptions regarding the perceptual capabilities of observers? How are visual motion and feature information combined to create object information? How are the object trajectories that indicate persistence to human observers implemented, and how are these trajectory representations bound to feature representations? How, for example, are point-light walkers recognized as single objects? How are conflicts between trajectory-driven and feature-driven identifications of objects resolved, for example in multiple-object tracking situations? Are there separate “what” and “where” processing streams for haptic and auditory perception? Are there haptic and/or auditory equivalents of the visual object file? Are there equivalents of the visual object token? How are object-identification conflicts between different perceptual systems resolved? Is the common assumption that “persistent object” is a fundamental innate category justified? How does the ability to identify and categorize objects relate to the ability to name and describe them using language? How are features that an individual object had in the past but does not have currently represented? How are categorical constraints on how objects move or act represented, and how do such constraints influence categorization and the re-identification of individuals? How do human beings re-identify objects, including each other, as persistent individuals across changes in location, context and features, even after gaps in observation lasting months or years? How do human capabilities for object categorization and re-identification over time relate to those of other species, and how do human infants develop these capabilities? What can modeling approaches such as cognitive robotics tell us about the answers to these questions? Primary research reports, reviews, and hypothesis and theory papers addressing questions relevant to the understanding of perceptual object segmentation, categorization and individual identification at any scale and from any experimental or modeling perspective are solicited for this Research Topic. Papers that review particular sets of issues from multiple disciplinary perspectives or that advance integrative hypotheses or models that take data from multiple experimental approaches into account are especially encouraged.
Perceptual Learning
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Author : Manfred Fahle
language : en
Publisher: MIT Press
Release Date : 2002
Perceptual Learning written by Manfred Fahle and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Medical categories.
Perceptual learning is the specific and relatively permanent modification of perception and behaviour following sensory experience. This book presents advances made during the 1990s in this rapidly growing field.