Spectral Geometry of Shapes: Principles and Applications (Computer Vision and Pattern Recognition)
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Spectral Geometry of Shapes: Principles and Applications (Computer Vision and Pattern Recognition)

by Jing Hua, Zichun Zhong, Jiaxi Hu

computer vision computational geometry Pattern Recognition
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Explores spectral geometry methods and their applications in computer vision and pattern recognition for shape analysis.

About This Book

This book presents principles and applications of spectral geometry for shape analysis.

It is part of the Computer Vision and Pattern Recognition series.

Content focuses on mathematical techniques used in computational shape processing.

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I will be using this book for: