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Instructors: Prof. Dr.-Ing. Michael Gösele; Dr. rer. nat. Stefan Guthe
Event type:
Integrated Course
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
Capturing Reality
Subject:
Crediting for:
Hours per week:
4
Language of instruction:
Englisch
Min. | Max. participants:
- | -
Course Contents:
This course covers a broad range of techniques to capture and model our world with a focus on application in computer graphics and computer vision. This includes:
- basic tools and calibration techniques required in capturing applications
- capturing and modeling techniques for various object properties (such as geometry and reflectance)
- basic set of relevant mathematical modeling and optimization techniques
- implementation and practical application of several techniques
Literature:
Noriko Kurachi: The Magic of Computer Graphics. A K Peters/CRC Press
Richard Szeliski: Algorithms and Applications, Springer
Marcus Magnor, Oliver Grau, Olga Sorkine-Hornung, Christian Theobalt: Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality
Wolfgang Förstner, Bernhard P. Wrobel: Photogrammetric Computer Vision - Geometry, Orientation and Reconstruction (not yet published)
Preconditions:
Recommended:
Participation in lecture Graphische Datenverarbeitung I or Computer Vision I
Basic knowledge in C/C++
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