Progress in Neural Networks, Volume Four
Published on 1. May 1997
Book
Hardback
306 pages
978-0-89391-967-2 (ISBN)
Description
This is a study of the use of neural networks for machine vision. It is part of a series which reviews research in natural and synthetic neural networks, as well as in modelling, analysis, design, and development of neural networks in software and hardware areas. Contributions from researchers and practitioners serve as a platform for discussion of topics of interest to the neural network and cognitive information processing communities.
More details
Language
English
Place of publication
United Kingdom
Publishing group
Intellect
Target group
College/higher education
Professional and scholarly
Illustrations
indices
ISBN-13
978-0-89391-967-2 (9780893919672)
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Schweitzer Classification
Content
Receptive field calculus, Jan J. Koenderink; visual reconstruction and data fusion, D. Suter; visual perception of translational and rotational motion, Jim-Shih Liaw, Irwin K. King and Michael A. Arbib; neural network for recovering observer motion, David J. Heeger and Allan D. Jepson; image segmentation using a multilayer Kohonen's self-organizing feature map, Minsoo Suk and Jean Koh; illusory contours and image segmentation - neural network architectures, Josef Skrzpek and Brian Ringer; grouping and segmentation using neural networks - applications to edge detection, texture segmentation and fac recognition, B.S. Manjunath and R. Chellappa; object recognition using constraint satisfaction networks, Ruud M. Bolle, Andrea Califano and Rick Kjeldsen.