Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 546)
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Table of contents (18 chapters)
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Front Matter
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Discourses in Human and Machine Vision
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Perceptual Organization for Artificial Vision Systems
Editors: Kim L. Boyer, Sudeep Sarkar
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-4413-5
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-7923-7799-3Published: 31 March 2000
Softcover ISBN: 978-1-4613-6986-8Published: 12 October 2012
eBook ISBN: 978-1-4615-4413-5Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XIII, 349
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision