Computer Vision Analysis of Image Motion by Variational Methods (Hardcover, 2014 ed.)

This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. The book addresses the four core subjects of motion analysis: Motion estimation, detection, tracking, and three-dimensional interpretation. Each topic is covered in a dedicated chapter. The presentation is prefaced by an introductory chapter which discusses the purpose of motion analysis. Further, a chapter is included which gives the basic tools and formulae related to curvature, Euler Lagrange equations, unconstrained descent optimization, and level sets, that the variational image motion processing methods use repeatedly in the book.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Topics in Signal Processing, 10
Release date:	September 2013
First published:	2014
Authors:	Amar Mitiche • J.K. Aggarwal
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	207
Edition:	2014 ed.
ISBN-13:	978-3-319-00710-6
Categories:	Books > Science & Mathematics > Physics > Classical mechanics > Fluid mechanics Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	3-319-00710-6
Barcode:	9783319007106

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