Recent Advances in 3D Computer Vision (IN2107)
Course 0000002596 in SS 2019
General Data
| Course Type | seminar |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers |
Björn Häfner Christiane Sommer Responsible/Coordination: Daniel Cremers |
| Dates |
Assignment to Modules
-
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 | Visual simultaneous localization and mapping (SLAM) or Structure from Motion (SfM) is a classical problem in computer vision. It has wide applications in autonomous navigation, virtual/augmented reality, 3D scanning etc. In this seminar, we will start by reviewing the classical approaches in the literature and then proceed to the more recent methods for SLAM and SfM. In particular, topics will range from monocular to stereo and RGB-D cameras, from static methods to dynamic settings, and from low-level feature-based algorithms to high-level semantics-oriented approaches. |
|---|---|
| Links |
Additional information TUMonline entry |