Computer vision analysis of image motion by variational methods (Record no. 32771)

000 -LEADER
fixed length control field nam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240216b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319007106
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.382
Item number MIT
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mitiche, Amar
245 ## - TITLE STATEMENT
Title Computer vision analysis of image motion by variational methods
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Place of publication, distribution, etc Cham :
Date of publication, distribution, etc 2014
300 ## - PHYSICAL DESCRIPTION
Extent vii, 207 p. ;
Other physical details ill.,
Dimensions 24 cm
365 ## - TRADE PRICE
Price amount 140.18
Price type code
Unit of pricing 94.80
490 ## - SERIES STATEMENT
Series statement Springer topics in signal processing
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision
Topical term or geographic name as entry element Digital techniques
Topical term or geographic name as entry element Image processing
Topical term or geographic name as entry element Digital imaging
Topical term or geographic name as entry element Fluid aerodynamics
Topical term or geographic name as entry element Visual Odometry
Topical term or geographic name as entry element Optical Flow 3d Interpretation
Topical term or geographic name as entry element Flow Tracking
Topical term or geographic name as entry element Buxton–Buxton Method
Topical term or geographic name as entry element Black–Jepson Method
Topical term or geographic name as entry element Motion Detection
Topical term or geographic name as entry element Lucas–Kanade Method
Topical term or geographic name as entry element Horn–Schunck Method;
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Aggarwal, J. K.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2024-02-09 13289.06 621.382 MIT 034630 2024-02-16 Books

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