TY - GEN
T1 - Head pose estimation with combined 2D SIFT and 3D HOG features
AU - Wang, Bingjie
AU - Liang, Wei
AU - Wang, Yucheng
AU - Liang, Yan
PY - 2013
Y1 - 2013
N2 - In this paper, an approach is presented to estimate the 3D position and orientation of head from RGB and depth images captured by a commercial sensor Kinect. We use 2D Scale-invariant feature transform (SIFT) features together with 3D histogram of oriented gradients (HOG) features which are extracted in a pair of RGB and depth images captured synchronously, named SIFT-HOG features, to improve the robustness and accuracy of head pose estimation. We apply random forests to formulate pose estimation as a regression problem, due to their power for handling large training data and the high mapping speed. And then the mean-shift method is employed to refine the result obtained by the random forests. The experiment results demonstrate that our approach of head pose estimation is efficient.
AB - In this paper, an approach is presented to estimate the 3D position and orientation of head from RGB and depth images captured by a commercial sensor Kinect. We use 2D Scale-invariant feature transform (SIFT) features together with 3D histogram of oriented gradients (HOG) features which are extracted in a pair of RGB and depth images captured synchronously, named SIFT-HOG features, to improve the robustness and accuracy of head pose estimation. We apply random forests to formulate pose estimation as a regression problem, due to their power for handling large training data and the high mapping speed. And then the mean-shift method is employed to refine the result obtained by the random forests. The experiment results demonstrate that our approach of head pose estimation is efficient.
KW - HOG
KW - Head Pose Estimation
KW - Random Forests
KW - SIFT
UR - http://www.scopus.com/inward/record.url?scp=84891321719&partnerID=8YFLogxK
U2 - 10.1109/ICIG.2013.133
DO - 10.1109/ICIG.2013.133
M3 - Conference contribution
AN - SCOPUS:84891321719
SN - 9780769550503
T3 - Proceedings - 2013 7th International Conference on Image and Graphics, ICIG 2013
SP - 650
EP - 655
BT - Proceedings - 2013 7th International Conference on Image and Graphics, ICIG 2013
T2 - 2013 7th International Conference on Image and Graphics, ICIG 2013
Y2 - 26 July 2013 through 28 July 2013
ER -