TY - GEN
T1 - Supervised manifold learning based on biased distance for view invariant body pose estimation
AU - Hur, Dongcheol
AU - Wallraven, Christian
AU - Lee, Seong Whan
PY - 2012
Y1 - 2012
N2 - In human body pose estimation, manifold learning is a useful method for reducing the dimension of 2D images and 3D body configuration data. Most commonly, body pose is estimated from silhouettes derived from images or image sequences. A major problem when applying manifold estimation, however, is its vulnerability to silhouette variation. In this paper, we propose a novel approach to solving viewpoint-induced silhouette variation by introducing biased label distances for learning manifolds that are able to represent variations in viewpoint, pose, and 3D body configuration. We demonstrate the effectiveness of the approach on a synthetic and a real-world dataset.
AB - In human body pose estimation, manifold learning is a useful method for reducing the dimension of 2D images and 3D body configuration data. Most commonly, body pose is estimated from silhouettes derived from images or image sequences. A major problem when applying manifold estimation, however, is its vulnerability to silhouette variation. In this paper, we propose a novel approach to solving viewpoint-induced silhouette variation by introducing biased label distances for learning manifolds that are able to represent variations in viewpoint, pose, and 3D body configuration. We demonstrate the effectiveness of the approach on a synthetic and a real-world dataset.
KW - Biased distance
KW - Manifold learning
KW - Pose estimation
UR - http://www.scopus.com/inward/record.url?scp=84872388802&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872388802&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2012.6378158
DO - 10.1109/ICSMC.2012.6378158
M3 - Conference contribution
AN - SCOPUS:84872388802
SN - 9781467317146
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 2717
EP - 2720
BT - Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
T2 - 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Y2 - 14 October 2012 through 17 October 2012
ER -