Object Recognition - Fundamentals and Case Studies (Hardcover, 2002 ed.)

This volume introduces the fundamental concepts and tools involved in the design and implementation of object recognition systems. Divided into three parts, it first introduces the topic and covers the acquisition of images, then details 3-D object reconstruction, modelling and matching, and finally describes typical recognition systems using case studies. Key features include: Extensive literature surveys of state-of-the-art systems An FTP site from which readers can obtain the MATLAB codes used to generate some of the results found in the text: ftp://ftp.springer.de/pub/cs/object_recognition/ Object Recognition will be essential reading for research scientists, advanced undergraduate and postgraduate students in computer vision, image processing and pattern classification. It will also be of interest to practitioners working in the field of computer vision.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Advances in Computer Vision and Pattern Recognition
Release date:	December 2001
First published:	2002
Authors:	M. Bennamoun • G.J. Mamic
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	350
Edition:	2002 ed.
ISBN-13:	978-1-85233-398-0
Categories:	Books > Professional & Technical > Electronics & communications engineering > General Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-85233-398-7
Barcode:	9781852333980

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