Computer Perceptual Organization In Computer Vision: 12 (Series In Machine Perception And Artificial Intelligence) - Hardcover

Boyer, Kim L; Sarkar, Sudeep

Hardcover

ISBN 10: 981021832X ISBN 13: 9789810218324

Publisher: World Scientific Publishing Co Pte Ltd, 1994

Synopsis

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.

About this title

Synopsis

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 algorithm, is based on Bayesian probabilistic networks and has potential for being used in other spatial information tasks. The book also has a comprehensive review of the prior work in the area. It not only classifies the prior work but also identifies some areas of future work.

Edition details

• Publisher: World Scientific Publishing Co Pte Ltd
• Publication date: 1994
• ISBN 10: 981021832X
• ISBN 13: 9789810218324
• Binding: Hardcover
• Language: English
• Number of pages: 252