Electronic Resource

Computer Vision Analysis of Image Motion by Variational Methods

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000241	EB0000401	621.367 Mit c	Central Library	Available

Detail Information

Series Title

Springer Topics in Signal Processing

Call Number

621.367 Mit c

Publisher

Switzerland : Springer Cham., 2014

Collation

vii,207p.: III.

Language

English

ISBN/ISSN

978-3-319-00711-3

Classification

621.367

Content Type

-

Media Type

-

Carrier Type

-

Edition

1

Subject(s)

Computer Vision
Image analysis--Mathematical models

Specific Detail Info

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Statement of Responsibility

RIZAL

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