Visual Computing - AS 14
Description
Goal
This course provides an in-depth introduction to the core concepts of computer graphics, image processing, multimedia, and computer vision. The course forms a basis for the specialization track Visual Computing of the CS master program at ETH.
Subjects
As a suggested course for people interested in the specialization track Visual Computing, this course covers topics from computer graphics and computer vision. More information on related fields can be found on the respective group websites:
Contents
Course topics will include: Graphics pipeline, perception and color models, camera models, transformations and projection, projections, lighting, shading, global illumination, texturing, sampling theorem, Fourier transforms, image representations, convolution, linear filtering, diffusion, nonlinear filtering, edge detection, optical flow, image and video compression.
In theoretical and practical homework assignments students will learn to apply and implement the presented concepts and algorithms.
Prerequisites
None
Attestation
None
Administration
| Number | 252-0206-00V |
| Lecturers | Prof. Dr. Markus Gross Prof. Dr. Marc Pollefeys |
| Course Location | Tue. 10-12 HG E 1.2 Thu. 13-15 HG E 1.2 |
| Exercise Location | Tue. 13-16 CHN G 42 or Thu. 09-12 HG D 3.1 |
| ECTS Credits | 8 credits |
| Exam | 180 min, written (English, answers allowed in German or English), notes (8 pages A4 handwritten) and non-programmable calculator allowed |
