Computer Perceptual Organization In Computer Vision

Author : Sudeep Sarkar
Publisher : World Scientific
ISBN 13 : 981021832X
Total Pages : 254 pages
Book Rating : 4.24/5 ( download)

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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.

Author : Kim L. Boyer
Publisher : Springer Science & Business Media
ISBN 13 : 1461544130
Total Pages : 351 pages
Book Rating : 4.35/5 ( download)

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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.

Author :
Publisher :
ISBN 13 :
Total Pages : 108 pages
Book Rating : 4.32/5 ( download)

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Download or read book Perceptual Organization in Computer Vision written by and published by . This book was released on 1999 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : D. Lowe
Publisher : Springer Science & Business Media
ISBN 13 : 146132551X
Total Pages : 174 pages
Book Rating : 4.12/5 ( download)

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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.

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Publisher :
ISBN 13 :
Total Pages : 108 pages
Book Rating : 4.48/5 ( download)

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Download or read book Special Issue: Perceptual Organization in Computer Vision written by and published by . This book was released on 1999 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Philippos Mordohai
Publisher : Springer Nature
ISBN 13 : 3031022424
Total Pages : 126 pages
Book Rating : 4.25/5 ( download)

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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.

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ISBN 13 :
Total Pages : pages
Book Rating : 4.13/5 ( download)

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Download or read book Special Section on Perceptual Organization in Computer Vision written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Philippos Mordohai
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598291009
Total Pages : 137 pages
Book Rating : 4.01/5 ( download)

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Download or read book Tensor Voting written by Philippos Mordohai and published by Morgan & Claypool Publishers. This book was released on 2007 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Tensor voting -- Stereo vision from a perceptual organization perspective -- Tensor voting in ND -- Dimensionality estimation manifold learning and function approximation -- Boundary inference -- Figure completion -- Conclusions -- References.

Author : Kim L. Boyer
Publisher :
ISBN 13 :
Total Pages : 108 pages
Book Rating : 4.16/5 ( download)

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Download or read book Special Issue written by Kim L. Boyer and published by . This book was released on 1999 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Sudeep Sarkar
Publisher :
ISBN 13 :
Total Pages : 570 pages
Book Rating : 4.85/5 ( download)

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Download or read book On Computing Perceptual Organization in Computer Vision written by Sudeep Sarkar and published by . This book was released on 1993 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: