Visual Computing

Motivation
The digital processing of visual information has become a core topic in modern CS and IT. Visual Computing (VisComp) builds upon foundations from Computer Science and applied Mathematics and has a wide range of applications.

Methodologically, Visual Computing is routed in computer graphics, algorithmic geometry, image processing and computer vision as well as machine learning. Strong conceptual and algorithmic links to Computational Science provide Visual Computing with the modeling breath and the computational expertise to solve large scale visualization and inference problems.

This focus area will give our students an opportunity to gain insight in and fundamental understanding of one of the most fascinating areas of computer science and information technology.

Aims and Scope
The proposed focus area will acquaint students with core knowledge in visual information processing and learning. We will cover the most important algorithmic and systems oriented foundations and form a basis for more specialized courses in computer graphics, digital image processing and machine learning. Topics will include: fundamentals of computer graphics, computer vision, machine learning and pattern recognition, advanced rendering, 3D modeling and geometry processing, scientific visualization, image understanding and neuroinformatics.

Prerequisites (applicable to ETH Computer Science students only)

Passed:

Focus Courses

26 credits to be achieved (must include 1 seminar):

If approved by the mentor, courses other than those listed under Focus Courses can be taken, given that they are topically related.

Elective Courses

20 - 24 credits to be achieved.

Any courses and seminars offered by the D-INFK master program may be chosen. We recommend those listed in the complementary focus track A or B.

Multidiscipline Courses

8 credits to be achieved.

HuSS Courses

2 credits to be achieved.

Master Thesis

The topic of the Master thesis has to be within the area of Visual Computing and must be accepted by the Mentor.

Professors involved

Marc Pollefeys, Markus Gross, Ronald Peikert 

Associated professors

Joachim Buhmann, Petros Koumoutsakos, Rodney J. Douglas, Luc Van Gool, Gabor Székely