Numerical Geometry of Non-Rigid Shapes

Alexander M. Bronstein

ISBN 10: 144192518X / ISBN 13: 9781441925183

Published by Springer New York, Springer US Dez 2010, 2010

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 368 pp. Englisch.

Seller Inventory # 9781441925183

Bibliographic Details

• Title: Numerical Geometry of Non-Rigid Shapes
• Publisher: Springer New York, Springer US Dez 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 144192518X
• ISBN 13: 9781441925183
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Deformable objects are ubiquitous in the world, on all levels from micro to macro. Study and modeling of such shapes arises in a wide spectrum of applications, ranging from medicine to security. Non-rigid shapes have attracted a growing interest, leading 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 provides an overview of the current state of science in analysis and synthesis of non-rigid shapes. Everyday examples are used to illustrate and explain concepts and techniques. The presentation unfolds systematically, with numerous figures to enrich the exposition. Practice exercises follow at the end of each chapter, with detailed solutions to selected problems in the appendix. A gallery of color images enhances the text.

From the Back Cover

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.