3D Shape Analysis

This comprehensive guide dives deep into the cutting-edge world of 3D shape analysis, offering a thorough examination of the mathematical theories and computational techniques that define the field. It systematically covers the major solutions and algorithms presented in the literature, from foundational geometric processing to advanced statistical shape modeling. The book's strength lies in its interdisciplinary approach, effectively bridging the work of disparate communities including computer vision, computer graphics, and medical imaging. Readers are provided with a unified perspective on how 3D objects are represented, compared, and interpreted by machines.

What sets this text apart is its commitment to synthesizing knowledge from mathematics, statistics, and applied engineering into a coherent framework for understanding 3D structures. It is an indispensable resource for graduate students, researchers, and professionals in fields like biomedical engineering, robotics, and computer-aided design who require a rigorous, state-of-the-art reference. By establishing clear links between theoretical principles and practical applications, the book equips its audience with the foundational knowledge needed to contribute to the next generation of 3D analysis tools.