Master Seminar Course - Recent Advances in the Analysis of 3D Shapes (IN2107, IN4848)
Course 0000004107 in SS 2020
General Data
| Course Type | seminar |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers |
Florian Bernard Assistants: Marvin Eisenberger |
| Dates |
Assignment to Modules
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IN2183: CSE Seminar Scientific Computing / CSE Seminar Course Scientific Computing
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | Three-dimensional objects have been used for decades in computer science. Nevertheless, methods for the automatic analysis, recognition, categorization and comparison of these objects have become an active field of research only recently. In this seminar, we will start by reviewing the classical approaches in the literature and then proceed to investigate methods for automatic retrieval and analysis of 3D models. The course will touch upon the most recent advances in the field. Particular emphasis will be put on defining and computing similarity between shapes, when these shapes are allowed to undergo non-rigid deformations (e.g. different poses of a human model). This, in turn, will enable us to discuss further directions of research in real-world scenarios, such as those arising in practical applications where the 3D data is captured with depth sensors (such as the Kinect). |
|---|---|
| Links | TUMonline entry |