Describing artificial neural network-based algorithms for early vision, this text focuses on several important early vision problems such as static and motion stereo, motion estimation and restoration, and emphasizes finding effective solutions to these problems using ANN. Many practical real-time image data are provided, and although the book is aimed at researchers and engineers, it provides an introduction to both neural networks and computer vision. A Masters degree in electrical engineering, computer science, physics ...
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Describing artificial neural network-based algorithms for early vision, this text focuses on several important early vision problems such as static and motion stereo, motion estimation and restoration, and emphasizes finding effective solutions to these problems using ANN. Many practical real-time image data are provided, and although the book is aimed at researchers and engineers, it provides an introduction to both neural networks and computer vision. A Masters degree in electrical engineering, computer science, physics or mathematics should be sufficient to follow most of the topics discussed.
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Add this copy of Artificial Neural Networks for Computer Vision to cart. $51.65, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 1991 by Springer.
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New. Print on demand Trade paperback (US). Glued binding. 170 p. Contains: Unspecified, Illustrations, black & white. Research Notes in Neural Computing, 5.
