Spectral geometry of shapes : principles and applications
Author(s)
Bibliographic Information
Spectral geometry of shapes : principles and applications
（Computer vision and pattern recognition series / series editors, Horst Bischof, Kyoung Mu Lee, Sudeep Sarkar）
Academic Press, c2020
Available at / 1 libraries
-
Library, Research Institute for Mathematical Sciences, Kyoto University数研
HUA||13||1200041733654
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references (p. 125-133) and index
Description and Table of Contents
Description
Spectral Geometry of Shapes presents unique shape analysis approaches based on shape spectrum in differential geometry. It provides insights on how to develop geometry-based methods for 3D shape analysis. The book is an ideal learning resource for graduate students and researchers in computer science, computer engineering and applied mathematics who have an interest in 3D shape analysis, shape motion analysis, image analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there has been a big increase in 3D shape data that requires a variety of shape analysis methods, hence the need for this comprehensive resource.
Table of Contents
1. Introduction2. Spectral Geometry Operation3. Spectral Geometric Features for Shapes4. Isometric Shape Analysis Using Spectral Geometry5. Near Isometric Shape Motion Analysis Using Spectral Geometry6. Non-Isometric Shape Motion Analysis by Variation of Shape Spectrum7. Machine Learning of Spectral Geometry8. Conclusions
by "Nielsen BookData"
