Introduction to Photogrammetry and Points2Surf (ECCV 2020)

This lecture is an introduction to photogrammetry. It covers geometry representations, conversion algorithms and evaluation methods. We explain methods that convert between images, point clouds, explicit surfaces and implicit and surfaces. Covered algorithms include Structure-From-Motion, Poisson Surface Reconstruction and Marching Cubes. While we keep the focus on the typical photogrammetry pipeline, we also present other methods, i.e., our own research on surface reconstruction from point clouds (Points2Surf, ECCV 2020). We conclude the lecture with an overview of common evaluation metrics like F1-score and Chamfer distance.

Lecture slides: https://vapor.cg.tuwien.ac.at/index.php/s/kW2JWz5wSpRo5Jn

The reconstruction focuses on the author's paper:

Points2Surf: Learning Implicit Surfaces from Point Cloud Patches (ECCV2020)
Paper: https://arxiv.org/abs/2007.10453
Git: https://github.com/ErlerPhilipp/points2surf

Presenters BIO:

Philipp Erler is a PhD student in the rendering and modeling group (headed by Prof. Michael Wimmer) at TU Wien. His area of research is surface reconstruction using deep learning. The cooperation with Prof. Niloy Mitra (UCL / Adobe) and Dr. Paul Guerrero (Adobe) resulted in his first publication, Points2Surf. He also assists in teaching and reviewing papers.

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