Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1 - 1st Edition - ISBN: 9780444642059

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1, Volume 19

1st Edition

Serial Volume Editors: Ron Kimmel Xue-Cheng Tai
Hardcover ISBN: 9780444642059
Imprint: North Holland
Published Date: 1st November 2018
Page Count: 525
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Table of Contents

1. Alternating diffusion: a geometric approach for sensor fusion
Ronen Talmon
2. Shape Correspondence and Functional Maps
Max Ovsjanikov
3. Geometric models for perception-based image processing
Marcelo Bertalmio
4. Decomposition schemes for nonconvex composite minimization: theory and applications
Mark Teboulle
5. Low rank matrix recovery: algorithms and theory
Jianfeng Cai
6. Geometry and learning for deformation shape correspondence
Alex Bronstein
7. Factoring scene layout from monocular images in presence of occlusion
Niloy J. Mitra


Description

Processing, Analyzing and Learning of Images, Shapes, and Forms: Volume 19, Part One provides a comprehensive survey of the contemporary developments related to the analysis and learning of images, shapes and forms. It covers mathematical models as well as fast computational techniques, and includes new chapters on Alternating diffusion: a geometric approach for sensor fusion, Shape Correspondence and Functional Maps, Geometric models for perception-based image processing, Decomposition schemes for nonconvex composite minimization: theory and applications, Low rank matrix recovery: algorithms and theory, Geometry and learning for deformation shape correspondence, and Factoring scene layout from monocular images in presence of occlusion.

Key Features

  • Presents a contemporary view on the topic, comprehensively covering the newest developments and content
  • Provides a comprehensive survey of the contemporary developments related to the analysis and learning of images, shapes and forms

Readership

Research scientists and graduate students specialising in mathematics, as well as engineers with a basic knowledge in partial differential equations and their numerical approximations.


Details

No. of pages:
525
Language:
English
Copyright:
© North Holland 2018
Published:
Imprint:
North Holland
Hardcover ISBN:
9780444642059

Ratings and Reviews


About the Serial Volume Editors

Ron Kimmel Serial Volume Editor

Ron Kimmel is a Professor of Computer Science at the Technion where he holds the Montreal Chair in Sciences. He held a post-doctoral position at UC Berkeley and a visiting professorship at Stanford University. He has worked in various areas of image and shape analysis in computer vision, image processing, and computer graphics. Kimmel's interest in recent years has been non-rigid shape processing and analysis, medical imaging and computational biometry, numerical optimization of problems with a geometric flavor, and applications of metric geometry, deep learning, and differential geometry. Kimmel is an IEEE Fellow for his contributions to image processing and non-rigid shape analysis. He is an author of two books, an editor of one, and an author of numerous articles. He is the founder of the Geometric Image Processing Lab. and a founder and advisor of several successful image processing and analysis companies.

Affiliations and Expertise

Technion - Israel Institute of Technology, Israel

Xue-Cheng Tai Serial Volume Editor

Professor Tai Xue-Cheng is a member of the Department of Mathematics at the Hong Kong Baptist University, Hong Kong and also the University of Bergen of Norway. His research interests include Numerical partial differential equations, optimization techniques, inverse problems, and image processing. He is the winner for several prizes for his contributions to scientific computing and innovative researches for image processing. He served as organizing and program committee members for many international conferences and has been often invited for international conferences. He has served as referee and reviewers for many premier conferences and journals.

Affiliations and Expertise

Hong Kong Baptist University, Hong Kong