Simulating clothes to improve the tracking of human motions in everyday activities
Our current tracker system uses a nacked human model for tracking. Especially in everyday scenarios this causes problems when the persons are not wearing tight-fitting clothes. Therefore we want to add a basic clothes simulation which can handle normal trousers and pullovers or shirts to better simulate the person.
Project type:
Diploma Thesis
Project overview: We are using an particle filter based approach to track the human body by using a fully adaptable, high dimensional model with up to 50 degrees of freedoms. For further background information about the project context see www9.in.tum.de/research/memoman.
Task description: Implement a cloth simulator using an easy particle system and a visualizer in OpenGL. Create some basic cloth models for our human model. Check and show improvements in tracking quality.
Prerequisites: Solid programming skills with C/C++. Experienced and/or interested in OpenGL.
Professor: Prof. Beetz, Michael, PhD
Supervisor: Weikersdorfer, David
State: Running
Student: Markus Maier
