Computer Graphics Laboratory

News

• Exercise 6 is now available on the homeworks page. You have until May 31st at 11:55pm to submit your solution on Moodle.
• Exercise 5 is now available on the homeworks page. You have until May 10th at 11:55pm to submit your solution on Moodle.
• Exercise 4 is now available on the homeworks page. You have until April 26th at 11:55pm to submit your solution on Moodle.
• Exercise 3 is now available on the homeworks page. You have until April 12th at 11:55pm to submit your solution on Moodle.
• Exercise 2 is now available on the homeworks page. You have until March 22nd at 11:55pm to submit your solution on Moodle.
• Exercise 1 is now available on the homeworks page. You have until March 15th at 11:55pm to submit your solution on Moodle.
• This year we will be giving the class remotely. Instructions and links for joining lectures and exercises session will be sent by email and accessible here (only accessible within the ETH Network).
• First lecture is on Tuesday 23.02.2021. 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 of each mathematical concept or tool will be introduced and we will then showcase their practical utility in a variety of different applications in computer graphics and vision. The course will cover topics in sampling, reconstruction, optimization, differentiation, quadrature and spectral methods. Applications will include 3D surface reconstruction, structure from motion, camera pose estimation, image editing, character animation, ray tracing, architectural design and shape recognition.

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.aydininf.ethz.ch), STD Dr. Abdelaziz Djelouah (abdelaziz.djelouahinf.ethz.ch), STD
Assistants	Gaspard Zoss (gaspard.zossinf.ethz.ch), STD
Language	English
Lectures	Tuesday 10:15–12:00 Link (only accessible within the ETH Network)
Exercise	Tuesdays 13:15–14:00 Link (only accessible within the ETH Network)
ECTS Credits	5
Exam	oral, 20 minutes (in English)