Mathematical Foundations of Computer Graphics and Vision - SS22 - Home
News
- Exercise 6 is now available on the homeworks page. You have until May 30th at 11:55pm to submit your solution on Moodle.
- Exercise 5 is now available on the homeworks page. You have until May 9th at 11:55pm to submit your solution on Moodle.
- Exercise 4 is now available on the homeworks page. You have until April 25th at 11:55pm to submit your solution on Moodle.
- Exercise 3 is now available on the homeworks page. You have until April 11th at 11:55pm to submit your solution on Moodle.
- Exercise 2 is now available on the homeworks page. You have until
March 21stMarch 28th at 11:55pm to submit your solution on Moodle. - Exercise 1 is now available on the homeworks page. You have until March 14th at 11:55pm to submit your solution on Moodle.
- This year we are returning to in-person teaching. The first lecture will take place on Tuesday, 22nd of February. A lot of important information will be given, so please do not miss it.
Description
Abstract
This course presents the fundamental mathematical tools and concepts used in computer graphics and vision. Each theoretical topic is introduced in the context of practical vision or graphic problems, showcasing its importance in real-world applications.
Content
The theory behind various mathematical concepts and tools will be introduced, and their practical utility will be showcased in diverse applications in computer graphics and vision. The course will cover topics in sampling, reconstruction, approximation, optimization, robust fitting, differentiation, quadrature and spectral methods. Applications will include 3D surface reconstruction, camera pose estimation, image editing, data projection, character animation, structure-aware geometry processing, and rendering.
Course Objectives
The main goal is to equip the students with the key mathematical tools necessary to understand state-of-the-art algorithms in vision and graphics. In addition to the theoretical part, the students will learn how to use these mathematical tools to solve a wide range of practical problems in visual computing. After successfully completing this course, the students will be able to apply these mathematical concepts and tools to practical industrial and academic projects in visual computing.
Course Work
The evaluation consists of an oral examination and a set of programming homeworks. The homeworks account for 50% of the final grade, and the oral exam accounts for 50%. The exercises and their submissions will be managed using Moodle.
General remarks and late policy
Assignments will be handed out every one or two weeks and will be discussed in the exercise session. Each exercise has a fixed due date at which all the required material has to be handed in. The ONLY exceptions for late submission are military service or illness, both of which require written proof.
Requirements
Introduction to Computer Graphics and Computer Vision. Some experience with Python programming.
Administration
| Number | 252-5706-00L |
| Lecturers | Dr. Tunc Aydin (tunc.aydin inf.ethz.ch), STD
Dr. Abdelaziz Djelouah (abdelaziz.djelouahinf.ethz.ch), STD |
| Assistants | Karlis Martins Briedis (karlis.briedisinf.ethz.ch), STD |
| Language | English |
| Course Location | CAB G 51, Tuesdays 10-12 |
| Exercise Location | CAB G 51, Tuesdays 13-14 |
| ECTS Credits | 5 |
| Exam | oral, 20 minutes (in English) |
