Kim L. Boyer's Books

Computer Perceptual Organization In Computer Vision

By: Kim L Boyer,Sudeep Sarkar

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Computer Perceptual Organization In Computer Vision

By: Kim L Boyer,Sudeep Sarkar

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.

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Page Count

254

Publisher

World Scientific

Published Date

ISBN 10

9814501832

ISBN 13

9789814501835

Multispectral Satellite Image Understanding

From Land Classification to Building and Road Detection

By: Cem Ünsalan,Kim L. Boyer

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Multispectral Satellite Image Understanding

From Land Classification to Building and Road Detection

By: Cem Ünsalan,Kim L. Boyer

This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with highly practical applications, the book describes a system for the effective detection of single houses and streets in very high resolution. Topics and features: with a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center; provides end-of-chapter summaries and review questions; presents a detailed review on remote sensing satellites; examines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indices; investigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic images; addresses the problem of detecting residential regions; describes a house and street network-detection subsystem; concludes with a summary of the key ideas covered in the book.

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Page Count

189

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0857296671

ISBN 13

9780857296672

Robust Range Image Registration

Using Genetic Algorithms and the Surface Interpenetration Measure

By: Luciano Afonso da Silva,Olga R. P. Bellon,Kim L. Boyer

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Robust Range Image Registration

Using Genetic Algorithms and the Surface Interpenetration Measure

By: Luciano Afonso da Silva,Olga R. P. Bellon,Kim L. Boyer

This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned.

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Page Count

174

Publisher

World Scientific

Published Date

ISBN 10

9812563121

ISBN 13

9789812563125

Applications of AI, Machine Vision and Robotics

By: Kim L. Boyer,Louise Stark,Horst Bunke

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Applications of AI, Machine Vision and Robotics

By: Kim L. Boyer,Louise Stark,Horst Bunke

This text features a broad array of research efforts in computer vision including low level processing, perceptual organization, object recognition and active vision. The volume's nine papers specifically report on topics such as sensor confidence, low level feature extraction schemes, non-parametric multi-scale curve smoothing, integration of geometric and non-geometric attributes for object recognition, design criteria for a four degree-of-freedom robot head, a real-time vision system based on control of visual attention and a behavior-based active eye vision system. The scope of the book provides an excellent sample of current concepts, examples and applications from multiple areas of computer vision.

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Publisher

World Scientific

Published Date

ISBN 10

9810221509

ISBN 13

9789810221508

Learning Innovation and the Future of Higher Education

By: Joshua Kim,Edward Maloney

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Learning Innovation and the Future of Higher Education

By: Joshua Kim,Edward Maloney

Ultimately, the authors make a compelling case not only for this turn to learning but for creating new pathways for nonfaculty learning careers, understanding the limits of professional organizations and social media, and the need to establish this new interdisciplinary field of learning innovation.

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Page Count

229

Publisher

Johns Hopkins University Press

Published Date

ISBN 10

1421436639

ISBN 13

9781421436630

Book's by Kim L. Boyer

Computer Perceptual Organization In Computer Vision

Computer Perceptual Organization In Computer Vision

Multispectral Satellite Image Understanding

Multispectral Satellite Image Understanding

Robust Range Image Registration

Robust Range Image Registration

Applications of AI, Machine Vision and Robotics

Applications of AI, Machine Vision and Robotics

Learning Innovation and the Future of Higher Education

Learning Innovation and the Future of Higher Education

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