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Overview
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.
Editorials
Booknews
Describes recent developments in applying relaxation techniques to a finite domain, used in artificial intelligence and computer vision. Provides the formal foundations and some examples, and summarizes the state-of-the-art algorithms, both sequential and parallel, and the specialized architecture. Annotation c. Book News, Inc., Portland, OR (booknews.com)Book Details
Published
January 1, 1990
Publisher
New York : Oxford University Press, 1990.
Pages
160
Format
Hardcover
ISBN
9780195048940