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Instructors: Prof. Ph. D. Stefan Roth
Event type:
Integrated Course
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
Computer Vision
Subject:
Crediting for:
Hours per week:
4
Credits:
6,0
Language of instruction:
Englisch
Min. | Max. participants:
- | -
Course Contents:
Objectives:
the goal is to acquire knowledge in computer vision in general and in object recognition in particular.
Course Content:
all information is available on the web http://www.gris.tu-darmstadt.de/teaching
Diploma Supplement:
Computer vision, object recognition, object categorization, global and local approaches, deformable models, local descriptors and interest points, part representations, combination with segmentation.
Literature:
- R. Szeliski, "Computer Vision: Algorithms and Applications", Springer 2011
- D. Forsyth, J. Ponce, "Computer Vision -- A Modern Approach", Prentice Hall, 2002
Preconditions:
Prerequisites: Canonic HCS (Human Computer Systems), basics in mathematics and probability theory
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