Pattern Recognition and
Image Processing Group
Institute of Computer Graphics and Algorithms
PRIP Fakultät für Informatik, TU Wien Technische Universität Wien Fakultät für Informatik

183.292 VU Open Problems in Computer Vision

For schedule & exams see TISS

Aim of course

Prepare for autonomous scientific research in computer vision.
How to find NEW and ORIGINAL contributions?

Course goal

  • Create comprehensive list of open problems in CV,
  • collective coverage of the state of the art (=basis for comprehensive exam),
  • individual presentations (written + oral) of topics chosen by students.

Subject of course

General: Principles of Scientific Communication, assess and discuss the state of the art in a subarea of computer vision, communicate and discuss the concrete results in a lecture unit and/or submit to a scientific workshop.

Proposed Computer Vision Subareas:

  1. Visual Models and Representations
  2. Recognition and Matching
  3. Shapes
  4. Motion
  5. Robustness and Efficiency in Visual Computing
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