Details
Stefan Ohrhallinger, Philipp Erler, Michael Wimmer, David Hahn, Martin Ilčík
Hot Links
Aim and Subject
The goal is to provide a solid understanding of how 3D digital models are generated and represented as a requirement for applying deep learning methods, and to analyze surface properties for running simulations. Deep learning with 3D data, reconstruction from images or sensors, simulations on surfaces, and procedural modeling: In this course, you will practice processing meshes with machine learning algorithms, run simulations, and generate entire cities procedurally.
The following topics will be treated in this course among others: Polygonal Meshes, Curves and Surfaces Representations and Properties, Reconstruction of 3D Models from Scans, Parametrization, Simulations on Surfaces, Procedural Modeling
Time and Place
Tuesday 13:00-14:30* ONLINE (will take longer for blocked paper presentations)
Schedule for the course 2021
09.03.2021, 13:00-14:30 Introduction
for the remaining lecture dates please see the TISS-Page.
Communication
The announcements and discussion forums, as well as information regarding the exercises are available on the TUWEL-Page.