Public Summary Month 4/2012

In March and April, the work focused on the important task of human pose recognition based on an ICP[1] approach, and the environment modeling, done with the OpenGL framework. To improve the results of the ICP approach, a second method[2] will be incorporated in the estimation process. Therefore, a rendering pipeline has been implemented to produce synthetic data, which will be used for the training process of a classifier.



[1] Iterative Closest Point

[2] J.Shotton, A.Fitzgibbon, M.Cook, et al.:Real-time human pose recognition in parts from single depth images. Cvpr (2011), 1297-1304