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Computer Vision Analysis of Image Motion by Variational Methods

COMPUTER VISION ANALYSIS IMAGE MOTION VARIATIONAL MTHDS

Physics

Mathematics & Science

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

COLJR

COLSO

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Contents.
1: Image Motion Processing in Visual Function.
2: Background Preliminaries.
3: Optical Flow Estimation.
4: Motion Detection.
5: Tracking.
6: Optical Flow Three-Dimensional Interpretation.
Index.

Computer Vision Analysis of Image Motion by Variational Methods.css-1p8rvzy{position:absolute;padding-left:8px;}

Computer Vision Analysis of Image Motion by Variational Methods