Modeling in Computer Graphics

This course page describes the lecture of Sommersemester 2025. It is will be held next time in Sommersemester 2025. See list of other semesters.

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 analyzing 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, and Procedural Modeling

Time and Place

Usually on Tuesday 13:00-15:00 (c.t.) in the Seminar room FAV 05 (Favoritenstrasse 9, Stiege I, 5th Floor, room HA0503).

(except Thursday 20.03.2025, 11:00-13:00)

Schedule for the course 2025

Tuesday 11.03.2025, 13:00-15:00 Introduction

for the remaining lecture dates please see the TISS-Page.

Communication

The announcements and discussion forums, as well as information regarding the assignments, are available on the TUWEL-Page.

For any urgent or other communication, please contact the organizer of the course, Stefan Ohrhallinger.