Discrete relaxation techniques
著者
書誌事項
Discrete relaxation techniques
(The International series of monographs on computer science, 5)
Oxford University Press, 1990
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注記
Bibliography: p. 137-142
Includes index
内容説明・目次
内容説明
Relaxation techniques are iterative methods of solving systems of equations by successive approximations that lead ultimately to a minimization of the difference between the solution and "reality." One important application of this method lies in image processing, when, given incomplete, ambiguous information, a computer attempts to determine the nature of an object and its orientation in three dimensions. An invaluable resource for computer scientists and electrical engineers, this book provides a firm foundation in these techniques and discusses its applications in computer vision and artificial intelligence.
目次
- Introduction to relaxation techniques
- Classical relaxation
- The labeling problem
- The formulation of discrete relaxation
- Networks of constraints
- Applications of discrete relaxation
- Hierarchical constraint processes
- Parallel discrete relaxation algorithms
- VLSI architectures for discrete relaxation.
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