Computer Vision - Detection, Recognition and Reconstruction (Paperback, Softcover reprint of the original 1st ed. 2010)

Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the first two editions of the school on topics such as Recognition, Registration and Reconstruction. The chapters provide an in-depth overview of these challenging areas with key references to the existing literature.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 285
Release date:	August 2016
First published:	2010
Editors:	Roberto Cipolla • Sebastiano Battiato • Giovanni Maria Farinella
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	350
Edition:	Softcover reprint of the original 1st ed. 2010
ISBN-13:	978-3-662-50556-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-662-50556-8
Barcode:	9783662505564

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