Artificial Neural Networks for Computer Vision

Language: English

Published by Springer, Springer Dez 1991, 1991

0387976833 / 9780387976839

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This item is printed on demand - Print on Demand Titel. Neuware -This monograph is an outgrowth of the authors' recent research on the de velopment of algorithms for several low-level vision problems using artificial neural networks. Specific problems considered are static and motion stereo, computation of optical flow, and deblurring an image. From a mathematical point of view, these inverse problems are ill-posed according to Hadamard. Researchers in computer vision have taken the 'regularization' approach to these problems, where one comes up with an appropriate energy or cost function and finds a minimum. Additional constraints such as smoothness, integrability of surfaces, and preservation of discontinuities are added to the cost function explicitly or implicitly. Depending on the nature of the inver sion to be performed and the constraints, the cost function could exhibit several minima. Optimization of such nonconvex functions can be quite involved. Although progress has been made in making techniques such as simulated annealing computationally more reasonable, it is our view that one can often find satisfactory solutions using deterministic optimization algorithms.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 184 pp. Englisch.

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Title
Artificial Neural Networks for Computer Vision
Author
Yi-Tong Zhou
Publisher
Springer, Springer Dez 1991
Publication year
1991
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0387976833
ISBN 13
9780387976839
Item weight
289 grams
Dimensions
235x155x11 mm

buchversandmimpf2000

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