Please send a short form-free registration for participation to lecture by mail to: till.niese@uni.kn.
Qualified Students
Information Engineering students, bachelor in-depth lectures or master program
Prerequisites
Basics on computer graphics, programming skills (C++)
Learning Content
This course teaches methods for data modelling in computer graphics. Based on a comparison of volume- and surface models, their creation, properties and rendering methods we discuss complex Models and their creation. Data driven modeling from scanned data is another topic.
- A comparison of geometric represenations
- curves and surfaces, parametrization
- fractals
- botanic descriptions and computer generated plants
- modelling of virtual eco systems
- data-driven modelling (reconstruction from scanned point clouds)
- level-of-detail methods
Credit requirements
oral examination (20 min)
Examination date
First date: 25./26.07.2017
Second date: 10.10.2017
Registration in the course or at Ms Baiker's office (Z 710).
Credits
Successful participation yields 6 ECTS
Framework and Slides have been update at the 02.05.2017.