Optimization for Computer Vision

An Introduction to Core Concepts and Methods

Marco Alexander Treiber - Collection Advances in Computer Vision and Pattern Recognition

257 pages, parution le 24/07/2013

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Résumé

This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision.

Topics and features:

provides a comprehensive overview of computer vision-related optimization;
covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization;
describes in detail the optimization methods employed in computer vision applications;
illuminates key concepts with clearly written and step-by-step explanations;
presents detailed information on implementation, including pseudocode for most methods.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Marco Alexander Treiber
Collection	Advances in Computer Vision and Pattern Recognition
Parution	24/07/2013
Nb. de pages	257
Couverture	Broché
Intérieur	2 couleurs
EAN13	9781447152828
ISBN13	9781447152828