Course content

Geometric models and their simplification. Modeling with parametric curves and surfaces. Geometry culling. Illumination models and ambient occlusion in 3D and in screen space. Texture mapping. Ray tracing. Animation techniques. Shadow generation. Visualization principles. Visualization algorithms. Virtual and augmented reality. Special topics. For more information see also: https://www.idi.ntnu.no/grupper/vis/teaching/ as well as Blackboard.

Learning outcome

Knowledge: The candidate will acquire knowledge of more advanced graphics and visualization principles and algorithms. Skills: The candidate will enhance his/her skills in graphics and visualization programming through practical assignments. General competence: The candidate will gain in-depth understanding of more advanced principles and algorithms in computer graphics and visualization, will realise the potential use of the above and possess the basis for performing research or pursuing commercial applications in the field.

Learning methods and activities

Lectures and exercises.

Lectures and examination will be held in English.

Coding exercises and the associated documentation are to be done by the students themselves (no AI tools).

Students are free to choose Norwegian or English for written assessments.

Recommended previous knowledge

Course TDT4195 Visual Computing Fundamentals or equivalent.

Course materials

To be announced at start of semester.

Credit reductions