Perceptual Organization for Artificial Vision Systems

Perceptual Organization for Artificial Vision Systems

Author: Kim L. Boyer

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 351

ISBN-13: 1461544130

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Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was `Assessing the State of the Community and Charting New Research Directions.' Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization. Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.


Book Synopsis Perceptual Organization for Artificial Vision Systems by : Kim L. Boyer

Download or read book Perceptual Organization for Artificial Vision Systems written by Kim L. Boyer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was `Assessing the State of the Community and Charting New Research Directions.' Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization. Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.

Perceptual Organization in Vision

Perceptual Organization in Vision

Author: Ruth Kimchi

Publisher: Psychology Press

Published: 2003-09-12

Total Pages: 904

ISBN-13: 1135647232

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This book presents an overview of different frameworks for understanding perceptual organization, and a state-of-the-art summary of the domain. It describes findings from visual search, illusory contours, and object recognition using electrophysiological measures.


Book Synopsis Perceptual Organization in Vision by : Ruth Kimchi

Download or read book Perceptual Organization in Vision written by Ruth Kimchi and published by Psychology Press. This book was released on 2003-09-12 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of different frameworks for understanding perceptual organization, and a state-of-the-art summary of the domain. It describes findings from visual search, illusory contours, and object recognition using electrophysiological measures.

Computer Perceptual Organization In Computer Vision

Computer Perceptual Organization In Computer Vision

Author: Kim L Boyer

Publisher: World Scientific

Published: 1994-07-26

Total Pages: 254

ISBN-13: 9814501832

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This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (PINs). The PIN, which forms the heart of the system and which is based on Bayesian probabilistic networks, exhibits potential for application in several areas of computer vision as well as a range of other spatial reasoning tasks. The text includes a highly comprehensive, classificatory review of prior work in perceptual organization and, within that framework, identifies key areas for future work by the computer vision research community.


Book Synopsis Computer Perceptual Organization In Computer Vision by : Kim L Boyer

Download or read book Computer Perceptual Organization In Computer Vision written by Kim L Boyer and published by World Scientific. This book was released on 1994-07-26 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (PINs). The PIN, which forms the heart of the system and which is based on Bayesian probabilistic networks, exhibits potential for application in several areas of computer vision as well as a range of other spatial reasoning tasks. The text includes a highly comprehensive, classificatory review of prior work in perceptual organization and, within that framework, identifies key areas for future work by the computer vision research community.

Perceptual Organization and Visual Recognition

Perceptual Organization and Visual Recognition

Author: D. Lowe

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 174

ISBN-13: 146132551X

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COMPUTER VISION is a field of research that encompasses many objectives. A primary goal has been to construct visual sensors that can provide general-purpose robots with the same information about their surroundings as we receive from our own visual senses. This book takes an important step towards this goal by describing a working computer vision system named SCERPO. This system can recognize known three-dimensional objects in ordinary black-and-white images taken from unknown viewpoints, even when parts of the object are undetectable or hidden from view. A second major goal of computer vision re search is to provide a computational understanding of human vision. The research presented in this book has many implica tions for our understanding of human vision, particularly in the areas of perceptual organization and knowledge-based recogni tion. An attempt has been made to relate each computational result to the relevant areas in the psychology of vision. Since the material is meant to be accessible to a wide range of inter disciplinary readers, the book is written in plain language and attempts to explain most concepts from the starting position of the non-specialist. vii viii PREFACE One of the most important conclusions ansmg from this research is that visual recognition can commonly be achieved directly from the two-dimensional image without any prelim inary reconstruction of depth information or surface orienta tion from the visual input.


Book Synopsis Perceptual Organization and Visual Recognition by : D. Lowe

Download or read book Perceptual Organization and Visual Recognition written by D. Lowe and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTER VISION is a field of research that encompasses many objectives. A primary goal has been to construct visual sensors that can provide general-purpose robots with the same information about their surroundings as we receive from our own visual senses. This book takes an important step towards this goal by describing a working computer vision system named SCERPO. This system can recognize known three-dimensional objects in ordinary black-and-white images taken from unknown viewpoints, even when parts of the object are undetectable or hidden from view. A second major goal of computer vision re search is to provide a computational understanding of human vision. The research presented in this book has many implica tions for our understanding of human vision, particularly in the areas of perceptual organization and knowledge-based recogni tion. An attempt has been made to relate each computational result to the relevant areas in the psychology of vision. Since the material is meant to be accessible to a wide range of inter disciplinary readers, the book is written in plain language and attempts to explain most concepts from the starting position of the non-specialist. vii viii PREFACE One of the most important conclusions ansmg from this research is that visual recognition can commonly be achieved directly from the two-dimensional image without any prelim inary reconstruction of depth information or surface orienta tion from the visual input.

Human and Machine Vision

Human and Machine Vision

Author: James D. McCafferty

Publisher: Ellis Horwood

Published: 1990

Total Pages: 234

ISBN-13:

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Book Synopsis Human and Machine Vision by : James D. McCafferty

Download or read book Human and Machine Vision written by James D. McCafferty and published by Ellis Horwood. This book was released on 1990 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

From Humans to Computers

From Humans to Computers

Author: Viktor Vasil?evich Aleksandrov

Publisher: World Scientific

Published: 1991

Total Pages: 224

ISBN-13: 9789810202989

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This book considers computer vision to be an integral part of the artificial intelligence system. The core of the book is an analysis of possible approaches to the creation of artificial vision systems, which simulate human visual perception. Much attention is paid to the latest achievements in visual psychology and physiology, the description of the functional and structural organization of the human perception mechanism, the peculiarities of artistic perception and the expression of reality. Computer vision models based on these data are investigated. They include the processes of external data analysis, internal environmental model synthesis, and the generating of behavioristic responses based on external and internal models comparison. Computer vision system evolution resulting from environmental effects is also considered. A unique feature of this book is the authors' use of black and white, and colour prints of traditional and contemporary Russian art to illustrate their principal theses. In doing so, they introduce the reader to a particularly Russian view of the world.


Book Synopsis From Humans to Computers by : Viktor Vasil?evich Aleksandrov

Download or read book From Humans to Computers written by Viktor Vasil?evich Aleksandrov and published by World Scientific. This book was released on 1991 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers computer vision to be an integral part of the artificial intelligence system. The core of the book is an analysis of possible approaches to the creation of artificial vision systems, which simulate human visual perception. Much attention is paid to the latest achievements in visual psychology and physiology, the description of the functional and structural organization of the human perception mechanism, the peculiarities of artistic perception and the expression of reality. Computer vision models based on these data are investigated. They include the processes of external data analysis, internal environmental model synthesis, and the generating of behavioristic responses based on external and internal models comparison. Computer vision system evolution resulting from environmental effects is also considered. A unique feature of this book is the authors' use of black and white, and colour prints of traditional and contemporary Russian art to illustrate their principal theses. In doing so, they introduce the reader to a particularly Russian view of the world.

Perceptual Organization in Vision

Perceptual Organization in Vision

Author: Ruth Kimchi

Publisher: Psychology Press

Published: 2003-09-12

Total Pages: 488

ISBN-13: 1135647240

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An exploration of ideas emanating from behavioural, developmental, neurophysiological, neuropsychological and computational approaches to the problem of visual perceptual organization. It is based on papers presented at the 31st Carnegie Symposium on Cognition, held in June 2000.


Book Synopsis Perceptual Organization in Vision by : Ruth Kimchi

Download or read book Perceptual Organization in Vision written by Ruth Kimchi and published by Psychology Press. This book was released on 2003-09-12 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exploration of ideas emanating from behavioural, developmental, neurophysiological, neuropsychological and computational approaches to the problem of visual perceptual organization. It is based on papers presented at the 31st Carnegie Symposium on Cognition, held in June 2000.

Computer Perceptual Organization in Computer Vision

Computer Perceptual Organization in Computer Vision

Author: Sudeep Sarkar

Publisher: World Scientific

Published: 1994

Total Pages: 254

ISBN-13: 981021832X

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This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (PINs). The PIN, which forms the heart of the system and which is based on Bayesian probabilistic networks, exhibits potential for application in several areas of computer vision as well as a range of other spatial reasoning tasks. The text includes a highly comprehensive, classificatory review of prior work in perceptual organization and, within that framework, identifies key areas for future work by the computer vision research community.


Book Synopsis Computer Perceptual Organization in Computer Vision by : Sudeep Sarkar

Download or read book Computer Perceptual Organization in Computer Vision written by Sudeep Sarkar and published by World Scientific. This book was released on 1994 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (PINs). The PIN, which forms the heart of the system and which is based on Bayesian probabilistic networks, exhibits potential for application in several areas of computer vision as well as a range of other spatial reasoning tasks. The text includes a highly comprehensive, classificatory review of prior work in perceptual organization and, within that framework, identifies key areas for future work by the computer vision research community.

Tensor Voting

Tensor Voting

Author: Philippos Mordohai

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 126

ISBN-13: 3031022424

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This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources.


Book Synopsis Tensor Voting by : Philippos Mordohai

Download or read book Tensor Voting written by Philippos Mordohai and published by Springer Nature. This book was released on 2022-06-01 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several problems can be posed as the organization of the inputs into salient perceptual structures, which are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources.

The Oxford Handbook of Perceptual Organization

The Oxford Handbook of Perceptual Organization

Author: Johan Wagemans

Publisher: OUP Oxford

Published: 2015-08-21

Total Pages: 1121

ISBN-13: 0191510475

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Perceptual organization comprises a wide range of processes such as perceptual grouping, figure-ground organization, filling-in, completion, perceptual switching, etc. Such processes are most notable in the context of shape perception but they also play a role in texture perception, lightness perception, color perception, motion perception, depth perception, etc. Perceptual organization deals with a variety of perceptual phenomena of central interest, studied from many different perspectives, including psychophysics, experimental psychology, neuropsychology, neuroimaging, neurophysiology, and computational modeling. Given its central importance in phenomenal experience, perceptual organization has also figured prominently in classic Gestalt writings on the topic, touching upon deep philosophical issues regarding mind-brain relationships and consciousness. In addition, it attracts a great deal of interest from people working in applied areas like visual art, design, architecture, music, and so forth. The Oxford Handbook of Perceptual Organization provides a broad and extensive review of the current literature, written in an accessible form for scholars and students. With chapter written by leading researchers in the field, this is the state-of-the-art reference work on this topic, and will be so for many years to come.


Book Synopsis The Oxford Handbook of Perceptual Organization by : Johan Wagemans

Download or read book The Oxford Handbook of Perceptual Organization written by Johan Wagemans and published by OUP Oxford. This book was released on 2015-08-21 with total page 1121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perceptual organization comprises a wide range of processes such as perceptual grouping, figure-ground organization, filling-in, completion, perceptual switching, etc. Such processes are most notable in the context of shape perception but they also play a role in texture perception, lightness perception, color perception, motion perception, depth perception, etc. Perceptual organization deals with a variety of perceptual phenomena of central interest, studied from many different perspectives, including psychophysics, experimental psychology, neuropsychology, neuroimaging, neurophysiology, and computational modeling. Given its central importance in phenomenal experience, perceptual organization has also figured prominently in classic Gestalt writings on the topic, touching upon deep philosophical issues regarding mind-brain relationships and consciousness. In addition, it attracts a great deal of interest from people working in applied areas like visual art, design, architecture, music, and so forth. The Oxford Handbook of Perceptual Organization provides a broad and extensive review of the current literature, written in an accessible form for scholars and students. With chapter written by leading researchers in the field, this is the state-of-the-art reference work on this topic, and will be so for many years to come.