Pattern Recognition and
Image Processing Group
Institute of Visual Computing and Human-Centered Technology
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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