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(More customer reviews)Numerical geometry of non-rigid shapes is the first attempt to present a focused and broad study of topics in non-rigid shape analysis. The book presents theoretical foundations, methods, algorithms and applications involving non-rigid shapes in different fields including computer vision, pattern recognition, and computer graphics. A special focus is made on practical value of the book - it is accompanied with code examples and references to commercial and public-domain software. Recommended as a textbook for computer vision and pattern recognition courses, reference for students and experts in the field.
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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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