Computer Vision : Detection, Recognition and Reconstruction
Softcover reprint of the original 1st ed. 2010
Book Details
Format
Paperback / Softback
Book Series
Studies in Computational Intelligence
ISBN-10
3662505568
ISBN-13
9783662505564
Edition
Softcover reprint of the original 1st ed. 2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Manufacture
DE
Country of Publication
GB
Publication Date
Aug 23rd, 2016
Print length
350 Pages
Weight
564 grams
Dimensions
23.40 x 15.60 x 2.30 cms
Ksh 32,400.00
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A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvssThis 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.
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/icvssThis 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.
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