Perceptual Organization for Artificial Vision Systems
By: edited by Kim L. Boyer, Sudeep Sarkar
Contributors: Sarkar, Sudeep
Series: The Kluwer International Series in Engineering and Computer Science -- 546; Kluwer international series in engineering and computer science -- 546.
Publisher: Springer US
Published: 2000
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 349
ISBN-13: 9781461369868; 9781461544135
Subjects: Computer vision; Computer science
Description: 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.
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