Optimization Techniques in Computer Vision : Ill-Posed Problems and Regularization

Language: English

Published by Birkhäuser, 2018

3319835017 / 9783319835013

Series: Book 58 of 86 - Advances in Computer Vision and Pattern Recognition

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems.The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.Optimization plays a major role in a wide variety of theories for image processing and computer vision.Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.

Seller Inventory # 9783319835013

Title
Optimization Techniques in Computer Vision : Ill-Posed Problems and Regularization
Author
Mongi A. Abidi
Publisher
Birkhäuser
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319835017
ISBN 13
9783319835013
Item weight
476 grams
Dimensions
235x155x17 mm
Series
Book 58 of 86: Advances in Computer Vision and Pattern Recognition

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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