عنوان

Computer Vision Analysis of Image Motion by Variational Methods

Standard Number

2146

First Statement of Responsibility

Mitiche, Amar

Title Proper

Computer Vision Analysis of Image Motion by Variational Methods

Place of Publication, Distribution, etc.

Cham

Name of Publisher, Distributor, etc.

Springer

Date of Publication, Distribution, etc.

2013

Specific Material Designation and Extent of Item

vii, 207 pages : illustrations )some color(

Series Title

Springer topics in signal processing

ISSN of Series

v.10

Text of Note

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.

Entry Element

، Image analysis -- Mathematical models.

Entry Element

، Computer vision.

Entry Element

، Signal, Image and Speech Processing.

Class number

Relator Code

AU

Entry Element

Amar Mitiche; J K Aggarwal

NO

Shelving Form of Title, Author, Author/Title

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