Practical Course: Geometry Processing
Instructor: Changkun Ou
Responsible Professor: Prof. Dr. Butz
Hours per two week: 4
Capacity: unlimited
Language: English
ECTS credits: 6
Modul:
P16/P17/P21: Vertiefende Themen der (Medien-)Informatik für Bachelor
WP1-16: Vertiefende Themen der (Medien-)Informatik für Master
P2/P6: Wahlpflichtveranstaltungen der (Medien-)Informatik für Master
P5: Praktikum zum fortgeschrittenen Themen der (Medien-)Informatik für Master
The ECTS can only be recognized either for Bachelor or Master program once.
News
- 05.07.2021:We are back ✨.
Prerequisites
The course is designed for senior bachelor students or master students who have taken those following courses (or have equivalent knowledge):
Registration is open at Uni2Work both for Bachelor students and Master students.
Communication
We use GitHub to manage all course resources, submissions, project proposals, submissions, etc. and use its Discussion Forum for online questions and discussions.
Please register yourself on GitHub if you do not have a GitHub account yet. You can use any distinguishable identifier for your username if you do not want your real name to appear on GitHub publicly.
Preparation
Since we use GitHub to organize the course, it is recommended for you to get familiar with GitHub beforehand. The following lists tools are used in the course, please install them before you taking the course: Blender (2.93+), Node.js (v14+).
Additional tools may also be introduced during the course. For more information, please check the GitHub repository.Syllabus
In this practical course, students will learn and practice more about geometry processing algorithms in 3D graphics, including mesh representation, discrete differential geometry, smoothing, parameterization, remeshing, deformation, shape analysis, etc.
Students will participate in the course every week to discuss and learn more geometry processing techniques at the beginning of the semester, then do 5 out of 8 geometry processing coding projects.
During the rest of the semester, students should propose a project idea throughout the semester, and by the end of the semester, implement and demonstrate their project in 1) idea-pitch presentation; 2) intermediate presentation; 3) final presentation.
- Date: Monday, 2 p.m. - 6 p.m. (starts on Oct 18, 2021)
- Location: Frauenlobstr. 7a, Raum 357 (subject to change)
| Date | Topic | Projects | Preview |
|---|---|---|---|
| - | Organization Details | - | - |
| 18.10.2021 | Introduction | TBA | TBA |
| 25.10.2021 | Discrete Differential Geometry | TBA | TBA |
| 01.11.2021 | Smoothing | TBA | TBA |
| 08.11.2021 | Parameterization | TBA | TBA |
| 15.11.2021 | Remeshing | TBA | TBA |
| 22.11.2021 | Deformation | TBA | TBA |
| 29.11.2021 | Data-driven Approach I: Geometric Deep Learning | TBA | TBA |
| 06.12.2021 | Data-driven Approach II: Differentiable Rendering | TBA | TBA |
| 10.01.2022 | Project Idea-Pitch Presentation | ||
| 24.01.2022 | Project Intermediate Presentation | ||
| 07.02.2022 | Project Final Presentation |
Grading
(max. 50p) Select 5 out of 8 homework projects:
- (10p) Coding Project 1
- (10p) Coding Project 2
- (10p) Coding Project 3
- (10p) Coding Project 4
- (10p) Coding Project 5
- (10p) Coding Project 6
- (10p) Coding Project 7
- (10p) Coding Project 8
(max. 50p) A independent project:
- (10p) Project proposal document
- (10p) Project idea-pitch presentation
- (10p) Project intermediate presentation
- (10p) Project final presentation
- (10p) Project source code (compiable and runnable)
Disclaimer
Rules for Online Teaching
While LMU is closed, most teaching happens currently online. As teachers, we ask you to be forgiving if things should not work perfectly right away, and we hope for your constructive participation. In this situation, we would also like to explicitly point out some rules, which would be self-evident in real life:- In live meetings, we ask you to responsibly deal with audio (off by default) and bandwidth (video as needed).
- Recording or redirecting streams by participants is not allowed.
- Distributing content (video, audio, images, PDFs, etc.) in other channels than those foreseen by the author is not allowed.
LMU Munich is a discrimination and harassment-free educational institution for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, denomination or technology choices. We do not tolerate harassment of our students or staff in any form, neither professional nor personal. Any form of discrimination or sexual harassment, incl. images, is not appropriate for any lecture, seminar, workshop or other forms of meetings and collaborations. Students or staff violating these rules may be dismissed from the sessions.
