Visual Computing
Semester: Autumn 2024
Catalogue Link: 252-0206-00L
Moodle forum Moodle
Lecturers:
- Marc Pollefeys (Vision)
- Markus Gross (Graphics)
Lecture:
- Tue 10-12, room HG G3
- Thu 14-16, room HG G3
Vision Assistants: Philipp Lindenberger, Linfei Pan, Zador Pataki, Botao Ye, Elisabetta Fedele
Graphics Assistants: Rafel Wampfler, Yingyan Xu, Davide Corigliano, Aurel Gruber, Lucas Relic, Jackson Stanhope
Student Assistants: Alice Mazzoleni, Joshua Aurand, Leo Neubecker
Tuesday Tutorial:
- Tue 13-16, room CHN G42
Thursday Tutorial:
- Thu 09-12, room IFW A36
Schedule and Course Notes: - Past Exams
Supplemental Info:
- This schedule is tentative. Both the vision and graphic part are currently undergoing significant changes and will be updated accordingly at a later point.
- Slides are accessible on Moodle.
Exam Notes:
- Both handwritten and digital notes on paper are allowed in the exam.
- Both lecture and exercise content are exam relevant.
Lecture Schedule
Week | Tuesday | Thursday |
---|---|---|
Week 1: Sep 17+19 | Introduction to Vision | The Digital Image |
Week 2: Sep 24+26 | Image Segmentation I | Image Segmentation II |
Week 3: Oct 01+03 | Convolution and Filtering | Image Features |
Week 4: Oct 08+10 | Fourier Transforms | Fourier Transforms (cont.) |
Week 5: Oct 15+17 | Unitary Transforms | Pyramids and Wavelets |
Week 6: Oct 22+24 | Optical Flow | Video Compression |
Week 7: Oct 29+31 | Convolutional Neural Networks | Radon Transform |
Week 8: Nov 05+07 | Introduction to Graphics | Graphics Pipeline |
Week 9: Nov 12+14 | Light and Colors | Transformations |
Week 10: Nov 19+21 | Lighting and Shading I | Lighting and Shading II |
Week 11: Nov 26+28 | Geometry and Textures I | Processing Signals |
Week 12: Dec 03+05 | Geometry and Textures II, Scan Conversion | Bezier Curves, B-Spline Curves |
Week 13: Dec 10+12 | Tensor Product Surfaces (Rational Curves), Subdivision Surfaces | Visibility and Shadows, Ray Tracing |
Week 14: Dec 17+19 | Artificial Intelligence for Digital Characters (Guest Lecture) | Artificial Intelligence for Computer Graphics (Guest Lecture) |
Tutorials
Each session is organized as follows. TAs first give a summary of the relevant course content and introduce the exercises. TAs then remain in the room to assist students in solving the exercises. They finally explain the solution shortly before the end of the session.
Within one week, both tutorial sessions cover the same materials. Students are split into two groups according to their last name: Tuesday for A-E (70 seats) and Thursday for F-Z (176 seats). If you are unable to attend on either of these days you can join the other day.
Slides and exercises will be distributed via Moodle.
A (new!) script will be released as the semester progresses. Please express your feedback (typos, inconsistencies) via Moodle.
Tutorial Schedule
Week | Topic | Material |
---|---|---|
Week 1 | No tutorial this week. | - |
Week 2 | Background Subtraction | Code |
Week 3 | Edge Detection | Code |
Week 4 | Fourier Transform | Code |
Week 5 | Data-Driven Compression | Code |
Week 6 | Optical Flow | Code |
Week 7 | Vision Q&A | |
Week 8 | Introduction to WebGL | Code |
Week 9 | Light & Colors | Material |
Week 10 | Matrices and Quaternions | Code |
Week 11 | WebGL Shading Language and Blending | Code |
Week 12 | Lighting and Shading | Code |
Week 13 | Curves and Surfaces | Code |
Week 14 | Graphics Q&A | Slides |
Books
Image Processing
- R. Gonzalez, R. Woods, Digital Image Processing (3rd Edition), 2007
- R. Hartley, A. Zisserman, Multiple View Geometry in Computer Vision, 2004
- R. Szeliski, Computer Vision: Algorithms and Applications, 2010
Computer Graphics