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Image of Computer Vision Analysis of Image Motion by Variational Methods

Electronic Resource

Computer Vision Analysis of Image Motion by Variational Methods

Aggarwal, J. K - Personal Name; Mitiche, Amar - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1408000241EB0000401621.367 Mit cCentral LibraryAvailable
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
-
Statement of Responsibility
RIZAL
Other version/related

No other version available

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  • Computer Vision Analysis of Image Motion by Variational Methods
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