Spectral Geometry of Shapes: Principles and Applications (Computer Vision and Pattern Recognition)
by Jing Hua, Zichun Zhong, Jiaxi Hu
Spectral Geometry of Shapes explores mathematical principles and practical applications for analyzing shapes through spectral methods. Linking geometry with computer vision and pattern recognition, the book offers a focused resource for readers studying computational approaches to visual form and shape analysis.
About This Book
Spectral Geometry of Shapes presents principles and applications related to the study of shapes through spectral methods.
The book focuses on connections between geometry, computer vision, and pattern recognition.
It is intended for readers interested in mathematical and computational approaches to shape analysis.
Topics are framed around the use of spectral geometry in understanding and processing visual forms.
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