Praktikum: 3D Scanning & Spatial Learning (IN2106, IN4263)
Course 0000004813 in WS 2019/20
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 15 - Chair of Computer Graphics and Visualization (Prof. Westermann) |
| Lecturers |
Matthias Nießner |
| Dates |
Thu, 14:00–16:00, MI 03.13.010 |
Assignment to Modules
-
IN2106: Master-Praktikum / Advanced Practical Course
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 | Kick-Off: Tuesday, Oct. 8., 2019 from 14:00-16:00 in room: 02.13.010 3D scanning and motion capture is of paramount importance for content creation, man-machine as well as machine-environment interaction. In this course we will continue the topics covered by the 3D Scanning & Motion Capture as well as by the Introduction to Deep Learning lecture. In the spirit of ‘learning by doing’ the students are asked to implement state-of-the-art reconstruction methods or current research topics in the field. Specifically, we will have projects on: - human motion capturing (e.g., Fusion4D, BodyFusion) - real-time facial motion capturing (spare and dense approaches) - 3D scene reconstruction (e.g., BundleFusion) - scan refinement (e.g., ShapeFromShading) - neural rendering of 3D content (e.g., DeepVoxel, NeuralRendering) - scene completion (e.g., ScanComplete) - 3D object retrieval and alignment (e.g., Scan2CAD) - scene understanding, instance segmentation (e.g., ScanNet, 3D-SIS) |
|---|---|
| Links |
E-Learning course (e. g. Moodle) TUMonline entry |