TY - GEN
T1 - Illumination and person-insensitive head pose estimation using distance metric learning
AU - Wang, Xianwang
AU - Huang, Xinyu
AU - Gao, Jizhou
AU - Yang, Ruigang
PY - 2008
Y1 - 2008
N2 - Head pose estimation is an important task for many face analysis applications, such as face recognition systems and human computer interactions. In this paper we aim to address the pose estimation problem under some challenging conditions, e.g., from a single image, large pose variation, and un-even illumination conditions. The approach we developed combines non-linear dimension reduction techniques with a learned distance metric transformation. The learned distance metric provides better intra-class clustering, therefore preserving a smooth low-dimensional manifold in the presence of large variation in the input images due to illumination changes. Experiments show that our method improves the performance, achieving accuracy within 2-3 degrees for face images with varying poses and within 3-4 degrees error for face images with varying pose and illumination changes.
AB - Head pose estimation is an important task for many face analysis applications, such as face recognition systems and human computer interactions. In this paper we aim to address the pose estimation problem under some challenging conditions, e.g., from a single image, large pose variation, and un-even illumination conditions. The approach we developed combines non-linear dimension reduction techniques with a learned distance metric transformation. The learned distance metric provides better intra-class clustering, therefore preserving a smooth low-dimensional manifold in the presence of large variation in the input images due to illumination changes. Experiments show that our method improves the performance, achieving accuracy within 2-3 degrees for face images with varying poses and within 3-4 degrees error for face images with varying pose and illumination changes.
UR - http://www.scopus.com/inward/record.url?scp=56749091651&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=56749091651&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-88688-4_46
DO - 10.1007/978-3-540-88688-4_46
M3 - Conference contribution
AN - SCOPUS:56749091651
SN - 3540886850
SN - 9783540886853
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 624
EP - 637
BT - Computer Vision - ECCV 2008 - 10th European Conference on Computer Vision, Proceedings
T2 - 10th European Conference on Computer Vision, ECCV 2008
Y2 - 12 October 2008 through 18 October 2008
ER -