Mathematical Foundations for Computer Graphics and Vision

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Overview

The theory of each mathematical concept or tool will be introduced and we will then showcase their practical utility in a variety of different applications in computer graphics and vision. The course will cover topics in sampling, reconstruction, optimization, differentiation, quadrature and spectral methods. Applications will include 3D surface reconstruction, structure from motion, camera pose estimation, image editing, character animation, ray tracing, architectural design and shape recognition.

Professor(s)
Dr. Jean-Charles Bazin
Dr. Martin R. Oswald
Dr. Cengiz Oztireli
Credits
4 KP
Exam
Oral Exam in August's Exam Session

Summaries

Exams

Additional Material

Literature