Artificial Neural Networks for Computer Vision /

This book describes artificial neural network (ANN) based algorithms for early vision. The book 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 the ANN. Many pr...

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Bibliographic Details
Main Author:	Zhou, Yi-Tong
Corporate Author:	SpringerLink (Online service)
Other Authors:	Chellappa, Rama
Format:	eBook
Language:	English
Published:	New York, NY : Springer New York, 1992.
Series:	Research notes in neural computing ; 5.
Subjects:	Computer science. Computer simulation. Computer graphics. Computer vision. Optical pattern recognition. Telecommunication. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This book describes artificial neural network (ANN) based algorithms for early vision. The book 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 the ANN. Many practical real time image data are provided. Although the book is written for researchers and engineers, it provides a fairly complete and readable introduction to both neural networks and computer vision. Readers can also expect to derive a better understanding of the interaction between these two fields.
Item Description:	Electronic resource.
Physical Description:	1 online resource (xi, 170 pages 61 illustrations)
ISBN:	9781461228349 (electronic bk.) 1461228344 (electronic bk.)
ISSN:	0939-4818 ;