3D Shape Analysis: From Classical Optimization to Learning-Based Matching

3D shape analysis focuses on extracting meaningful information from geometric data, with applications in autonomous driving, biomedicine, and AR/VR. In this tutorial, we provide an overview of classical shape matching techniques, product graph approaches, learning-based correspondence methods, spectral techniques, and their real-world applications. We also discuss current challenges and outline promising directions for future research.

Speakers & Organizers

Daniel Cremers

Florian Bernard

Zorah Lähner

Paul Roetzer

Lennart Bastian

Viktoria Ehm

Nafie El Amrani

Schedule

Acknowledgments