LFU:online

Department of Computer Science Department of Computer Science

Dipl.-Ing. Marcel Ritter, PhD Dipl.-Ing. Marcel Ritter, PhD, +43 512 507 53435
assoz. Prof. Antonio José Rodriguez-Sanchez, MSc PhD assoz. Prof. Antonio José Rodriguez-Sanchez, MSc PhD, +43 512 507 53270

703312

VO Signal Processing and Computational Geometry

VO 2

4,5

weekly

annually

English

After successful completion of the module, students understand current, complex algorithmic methods in the field of perception, interaction, and robotics. They are able to solve corresponding problems by targeted use of the methods and to work out similar contents themselves. The students are able to describe, classify, select, implement and adapt the central methods according to requirements.

Methods and knowledge are imparted which are required for the field of perception, interaction and robotics. Important aspects are signal processing, algorithmic geometry, and coordinate transformations. The course content enables students to understand current terminology, progress, issues, and trends in the field.

Lecture, assessment is based on a single examination at the end of the course.

Details will be announced in the lecture.

Examples:
1) M. Botsch, L. Kobbelt, M. Pauly, P. Alliez, B. Levy, "Polygon Mesh Processing", AK Peters, 978-1568814261, 2010.
2) S. Smith, "The Scientist and Engineer’s Guide to Digital Signal Processing", California Technical Publishing ,  2nd Edition, 0-9660176-7-6, 1999.

The course is appropriate for Master students, who want to delve deeper into one of the specialization areas of the domain perception, interaction and robotics. Basic knowledge of mathematics is expected.

The course is conceived as VO+PS. It is recommended that students participate in both parts.

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