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Artificial Neural Networks for Computer Vision (Paperback, 1992 ed.)
Loot Price: R1,473
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Artificial Neural Networks for Computer Vision (Paperback, 1992 ed.)
Series: Research Notes in Neural Computing, 5
Expected to ship within 10 - 15 working days
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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."
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