9780387733005-0387733000-Numerical Geometry of Non-Rigid Shapes (Monographs in Computer Science)

Numerical Geometry of Non-Rigid Shapes (Monographs in Computer Science)

ISBN-13: 9780387733005
ISBN-10: 0387733000
Edition: 2009
Author: Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
Publication date: 2008
Publisher: Springer
Format: Hardcover 368 pages
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Book details

ISBN-13: 9780387733005
ISBN-10: 0387733000
Edition: 2009
Author: Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
Publication date: 2008
Publisher: Springer
Format: Hardcover 368 pages

Summary

Numerical Geometry of Non-Rigid Shapes (Monographs in Computer Science) (ISBN-13: 9780387733005 and ISBN-10: 0387733000), written by authors Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, was published by Springer in 2008. With an overall rating of 3.6 stars, it's a notable title among other AI & Machine Learning (Graphics & Design, Geometry & Topology, Mathematics, Number Systems, Computer Science) books. You can easily purchase or rent Numerical Geometry of Non-Rigid Shapes (Monographs in Computer Science) (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $3.01.

Description

Deformable objects are ubiquitous in the world surrounding us, on all levels from micro to macro. The need to study such shapes and model their behavior arises in a wide spectrum of applications, ranging from medicine to security. In recent years, non-rigid shapes have attracted growing interest, which has led to rapid development of the field, where state-of-the-art results from very different sciences - theoretical and numerical geometry, optimization, linear algebra, graph theory, machine learning and computer graphics, to mention several - are applied to find solutions.

This book gives an overview of the current state of science in analysis and synthesis of non-rigid shapes. Everyday examples are used to explain concepts and to illustrate different techniques. The presentation unfolds systematically and numerous figures enrich the engaging exposition. Practice problems follow at the end of each chapter, with detailed solutions to selected problems in the appendix. A gallery of colored images enhances the text.

This book will be of interest to graduate students, researchers and professionals in different fields of mathematics, computer science and engineering. It may be used for courses in computer vision, numerical geometry and geometric modeling and computer graphics or for self-study.

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