Modeling in Computer Graphics

The next exercise will take place on Wednesday, 11.07.2018 at 13:30 in room Z1003.

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:  23. and 30.07.2018
Second date:  15.10.2018
Registration in the course or at Ms Baiker's office (Z 710).

Credits

Successful participation yields 6 ECTS

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Exercise Course