Overview
- Presents Ricci flow analysis in a simplified discrete setting
- Illustrates applications from engineering and medicine that represent state-of-the-art and new exciting challenges
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Mathematics (BRIEFSMATH)
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Table of contents (5 chapters)
Keywords
About this book
Reviews
From the book reviews:
“The book is aimed at providing mathematical foundations and algorithms for practitioners, especially engineers … One of the most fascinating parts of the book consists of the applications of discrete Ricci flow pioneered by the authors. … The authors have developed very effective methods of computing the solutions of discrete Ricci flow and have applied them successfully to solve many real world imaging problems.” (Bennett Chow, David Glickenstein and Feng Luo, Bulletin of the American Mathematical Society, Vol. 54 (1), January, 2017)“It provides both theoretical foundations and computational methods for surface Ricci flow, and describes its applications in surface registration and shape analysis. … This monograph is addressed mainly to graduate students and researchers in the fields of computer science, applied mathematics, engineering, and medical imaging. The book is recommended as well for professionals in the fields related to surface registration and shape analysis … .” (Vladimir Balan, Mathematical Reviews, June, 2014)
Authors and Affiliations
Bibliographic Information
Book Title: Ricci Flow for Shape Analysis and Surface Registration
Book Subtitle: Theories, Algorithms and Applications
Authors: Wei Zeng, Xianfeng David Gu
Series Title: SpringerBriefs in Mathematics
DOI: https://doi.org/10.1007/978-1-4614-8781-4
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Wei Zeng, Xianfeng David Gu 2013
Softcover ISBN: 978-1-4614-8780-7Published: 18 October 2013
eBook ISBN: 978-1-4614-8781-4Published: 18 October 2013
Series ISSN: 2191-8198
Series E-ISSN: 2191-8201
Edition Number: 1
Number of Pages: XI, 139
Number of Illustrations: 20 b/w illustrations, 49 illustrations in colour
Topics: Geometry, Computer Imaging, Vision, Pattern Recognition and Graphics, Computational Mathematics and Numerical Analysis, Convex and Discrete Geometry