Perceptual Organization for Artificial Vision Systems
Language: English
Published by Springer, 2000
Series: Book 155 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 107.17
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.…
Seller Inventory # 9780792377993
- Title
- Perceptual Organization for Artificial Vision Systems
- Author
- Kim L. Boyer
- Publisher
- Springer
- Publication year
- 2000
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0792377990
- ISBN 13
- 9780792377993
- Item weight
- 665 grams
- Dimensions
- 241x160x25 mm
- Series
- Book 155 of 260: The Springer International Series in Engineering and Computer Science
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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