3D Shape Analysis: From Classical Optimization to Learning-based Matching
Viktoria Ehm
Abstract
3D shape analysis deals with extracting information from geometric data, with applications in driving, biomedicine, and AR/VR. This tutorial covers classical shape matching methods (linear and quadratic assignment problems), product graph formalisms, learning-based correspondence, spectral methods, and real-world applications. Challenges and future directions are also addressed.
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