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Vision

Vision
Author: David Marr
Publisher: MIT Press
Total Pages: 429
Release: 2010-07-09
Genre: Psychology
ISBN: 0262514621

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Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis—in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.


Representation and Recognition in Vision

Representation and Recognition in Vision
Author: Shimon Edelman
Publisher: MIT Press
Total Pages: 378
Release: 1999
Genre: Computers
ISBN: 9780262050579

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Shimon Edelman bases a comprehensive approach to visual representation on the notion of correspondence between proximal (internal) and distal similarities in objects. Researchers have long sought to understand what the brain does when we see an object, what two people have in common when they see the same object, and what a "seeing" machine would need to have in common with a human visual system. Recent neurobiological and computational advances in the study of vision have now brought us close to answering these and other questions about representation. In Representation and Recognition in Vision, Shimon Edelman bases a comprehensive approach to visual representation on the notion of correspondence between proximal (internal) and distal similarities in objects. This leads to a computationally feasible and formally veridical representation of distal objects that addresses the needs of shape categorization and can be used to derive models of perceived similarity. Edelman first discusses the representational needs of various visual recognition tasks, and surveys current theories of representation in this context. He then develops a theory of representation that is related to Shepard's notion of second-order isomorphism between representations and their targets. Edelman goes beyond Shepard by specifying the conditions under which the representations can be made formally veridical. Edelman assesses his theory's performance in identification and categorization of 3D shapes and examines it in light of psychological and neurobiological data concerning the object-processing stream in primate vision. He also discusses the connections between his theory and other efforts to understand representation in the brain.


Representations of Vision

Representations of Vision
Author: Andrei Gorea
Publisher: Cambridge University Press
Total Pages: 376
Release: 1991-04-26
Genre: Medical
ISBN: 9780521412285

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This stimulating volume on vision extends well beyond the traditional areas of vision research and places the subject in a much broader philosophical context. The emphasis throughout is to integrate and illuminate the visual process. The first three parts of the volume provide authoritative overviews on computational vision and neural networks, on the neurophysiology of visual cortex processing, and on eye-movement research. Each of these parts illustrates how different research perspectives may jointly solve fundamental problems related to the efficiency of visual perception, to the relationship between vision and eye-movements and to the neurophysiological 'codes' underlying our visual perceptions. In the fourth part, leading vision scientists introduce the reader to some major philosophical problems in vision research such as the nature of 'ultimate' codes for perceptual events, the duality of psycho-physics, the bases of visual recognition and the paradigmatic foundations of computer-vision research.


Hierarchical Object Representations in the Visual Cortex and Computer Vision

Hierarchical Object Representations in the Visual Cortex and Computer Vision
Author: Antonio Rodríguez-Sánchez
Publisher: Frontiers Media SA
Total Pages: 292
Release: 2016-06-08
Genre: Neurosciences. Biological psychiatry. Neuropsychiatry
ISBN: 2889197980

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Over the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing automatic vision systems is developing a mechanism that can recognize - or simply find - an object when faced with all the possible variations that may occur in a natural scene, with the ease of the primate visual system. The area of the brain in primates that is dedicated at analyzing visual information is the visual cortex. The visual cortex performs a wide variety of complex tasks by means of simple operations. These seemingly simple operations are applied to several layers of neurons organized into a hierarchy, the layers representing increasingly complex, abstract intermediate processing stages. In this Research Topic we propose to bring together current efforts in neurophysiology and computer vision in order 1) To understand how the visual cortex encodes an object from a starting point where neurons respond to lines, bars or edges to the representation of an object at the top of the hierarchy that is invariant to illumination, size, location, viewpoint, rotation and robust to occlusions and clutter; and 2) How the design of automatic vision systems benefit from that knowledge to get closer to human accuracy, efficiency and robustness to variations.


Touch and Blindness

Touch and Blindness
Author: Morton A. Heller
Publisher: Psychology Press
Total Pages: 395
Release: 2006-04-21
Genre: Psychology
ISBN: 1135619301

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Research on touch and blindness has undergone rapid transformation in recent years, with dramatic developments in technology designed to provide assistance to those who are blind, and advancements in robotics that demand haptic interfaces. Touch and Blindness approaches the study of the topic from the perspectives of psychological methodology and the most sophisticated, state-of-the-art techniques in neuroscience. This book, edited by well-known leaders in the field, is derived from the discussions presented by speakers at a conference held in 2002, and presents current research in the field. The book is arranged in a logical, disciplinary fashion, first discussing touch and blindness from a psychological perspective, followed by an examination from the perspective of neuroscience. Some specific topics include: *processing spatial information from touch and movement; *form, projection, and pictures for the blind; *neural substrate and visual and tactile object representations; and *the role of visual cortex in tactile processing. Touch and Blindness is ideal for researchers in psychology and neuroscience, medicine, and special education.


Vision and Mind

Vision and Mind
Author: Alva Noë
Publisher: MIT Press
Total Pages: 644
Release: 2002-10-25
Genre: Psychology
ISBN: 9780262640473

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The philosophy of perception is a microcosm of the metaphysics of mind. Its central problems—What is perception? What is the nature of perceptual consciousness? How can one fit an account of perceptual experience into a broader account of the nature of the mind and the world?—are at the heart of metaphysics. Rather than try to cover all of the many strands in the philosophy of perception, this book focuses on a particular orthodoxy about the nature of visual perception. The central problem for visual science has been to explain how the brain bridges the gap between what is given to the visual system and what is actually experienced by the perceiver. The orthodox view of perception is that it is a process whereby the brain, or a dedicated subsystem of the brain, builds up representations of relevant figures of the environment on the basis of information encoded by the sensory receptors. Most adherents of the orthodox view also believe that for every conscious perceptual state of the subject, there is a particular set of neurons whose activities are sufficient for the occurrence of that state. Some of the essays in this book defend the orthodoxy; most criticize it; and some propose alternatives to it. Many of the essays are classics. Contributors G.E.M. Anscombe, Dana Ballard, Daniel Dennett, Fred Dretske, Jerry Fodor, H.P. Grice, David Marr, Maurice Merleau-Ponty, Zenon Pylyshyn, Paul Snowdon, and P.F. Strawson


Foundations of Vision

Foundations of Vision
Author: Brian A. Wandell
Publisher: Sinauer Associates, Incorporated
Total Pages: 508
Release: 1995
Genre: Medical
ISBN:

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Designed for students, scientists and engineers interested in learning about the core ideas of vision science, this volume brings together the broad range of data and theory accumulated in this field.


Sparse Representations and Compressive Sensing for Imaging and Vision

Sparse Representations and Compressive Sensing for Imaging and Vision
Author: Vishal M. Patel
Publisher: Springer Science & Business Media
Total Pages: 111
Release: 2013-02-11
Genre: Technology & Engineering
ISBN: 1461463815

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Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.


Handbook of Pattern Recognition and Computer Vision

Handbook of Pattern Recognition and Computer Vision
Author: C. H. Chen
Publisher: World Scientific
Total Pages: 1045
Release: 1999
Genre: Computers
ISBN: 9812384731

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The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference.


Visual Population Codes

Visual Population Codes
Author: Nikolaus Kriegeskorte
Publisher: MIT Press
Total Pages: 659
Release: 2012
Genre: Mathematics
ISBN: 0262016249

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How visual content is represented in neuronal population codes and how to analyze such codes with multivariate techniques. Vision is a massively parallel computational process, in which the retinal image is transformed over a sequence of stages so as to emphasize behaviorally relevant information (such as object category and identity) and deemphasize other information (such as viewpoint and lighting). The processes behind vision operate by concurrent computation and message passing among neurons within a visual area and between different areas. The theoretical concept of "population code" encapsulates the idea that visual content is represented at each stage by the pattern of activity across the local population of neurons. Understanding visual population codes ultimately requires multichannel measurement and multivariate analysis of activity patterns. Over the past decade, the multivariate approach has gained significant momentum in vision research. Functional imaging and cell recording measure brain activity in fundamentally different ways, but they now use similar theoretical concepts and mathematical tools in their modeling and analyses. With a focus on the ventral processing stream thought to underlie object recognition, this book presents recent advances in our understanding of visual population codes, novel multivariate pattern-information analysis techniques, and the beginnings of a unified perspective for cell recording and functional imaging. It serves as an introduction, overview, and reference for scientists and students across disciplines who are interested in human and primate vision and, more generally, in understanding how the brain represents and processes information.