Fakultät Informatik

3D Scanning & Motion Capture

Lecturer

 Prof. Dr. Matthias Niessner

Studies

Master Informatics

Time, Place

Tuesdays, 14:00-16:00, Room:  02.13.010
Wednesdays, 10:00-12:00, Room:  02.13.010

Begin

October 17., 2017

Prerequisites

Introduction to Informatics I, Analysis, Linear Algebra, Computer Graphics, C++

Content

3D reconstruction, RGB-D scanning (Kinect, Tango, RealSense), ICP, camera tracking, sensor calibration, VolumetricFusion, Non-Rigid Registration, PoseTracking, Motion Capture, Body-, Face-, and Hand-Tracking, 3D DeepLearning, selected optimization techniques to solve the problem statements (GN, LM, gradient descent).

References

D. A. Forsyth and J. Ponce. Computer Vision: A Modern Approach (2nd Edition). Prentice Hall, 2011.

R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2003.

 

 

News

Matthias Niessner, our new Professor from Stanford University, offers a number of interesting topics for  master theses.

 

PhD positions on   Computational Fabrication and 3D Printing and  Photorealistic Rendering for Deep Learning and Online Reconstruction are available at the Computer Graphics & Visualization group.