| Computer Perceptual Organization in Computer Vision Contributor(s): Boyer, Kim L. (Author), Sarkar, Sudeep (Author) |
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ISBN: 981021832X ISBN-13: 9789810218324 Publisher: World Scientific Publishing Company OUR PRICE: $80.75 Product Type: Hardcover Published: July 1994 |
| Additional Information |
| BISAC Categories: - Computers | Computer Vision & Pattern Recognition - Computers | Computer Science - Technology & Engineering | Electrical |
| Dewey: 006.37 |
| LCCN: 95118448 |
| Series: Machine Perception and Artificial Intelligence |
| Physical Information: 252 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |