3D Computer Vision (2022)

By:

  • Hamid Laga, Murdoch University

This course provides a gentle introduction to 3D computer vision, from the traditional stereo vision for 3D reconstruction to deep learning-based 3D reconstruction. It also covers the fundamentals of 3D shape analysis.

The course is based on (1) our book on 3D Shape Analysis: Fundamentals, Theory, and Applications, (2) our latest survey papers on Deep Learning Techniques for 3D reconstruction, and (3) materials from other authors, particularly those presented at Siggraph and Eurographics courses and tutorials.

Course Outline

    1. Introduction and Overview (PDF)

    2. Image-based 3D Reconstruction (PDF)

    3. Fundamentals of 3D Geometry (PDF)

    4. Rigid and Non-rigid 3D Shape Registration (PDF)

    5. 3D Shape Descriptors (PDF)

    6. Deep Learning for 3D Computer Vision (PDF)