Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Real Time Head Pose Estimation from Consumer Depth Cameras

G. Fanelli and T. Weise and J. Gall and L. Van Gool
33rd Annual Symposium of the German Association for Pattern Recognition (DAGM'11)
September 2011

Abstract

We present a system for estimating location and orientation of a person's head, from depth data acquired by a low quality device. Our approach is based on discriminative random regression forests: ensembles of random trees trained by splitting each node so as to simultaneously reduce the entropy of the class labels distribution and the variance of the head position and orientation. We evaluate three different approaches to jointly take classification and regression performance into account during training. For evaluation, we acquired a new dataset and propose a method for its automatic annotation.


Download in pdf format
@InProceedings{eth_biwi_00839,
  author = {G. Fanelli and T. Weise and J. Gall and L. Van Gool},
  title = {Real Time Head Pose Estimation from Consumer Depth Cameras},
  booktitle = {33rd Annual Symposium of the German Association for Pattern Recognition (DAGM'11)},
  year = {2011},
  month = {September},
  keywords = {}
}