TY  - CONF
AU  - Murad Al Haj
AU  - Jordi Gonzalez
AU  - Larry S. Davis
A2  - CVPR
PY  - 2012//
TI  - On Partial Least Squares in Head Pose Estimation: How to simultaneously deal with misalignment
BT  - 25th IEEE Conference on Computer Vision and Pattern Recognition
SP  - 2602
EP  - 2609
PB  - IEEE Xplore
N2  - Head pose estimation is a critical problem in many computer vision applications. These include human computer interaction, video surveillance, face and expression recognition. In most prior work on heads pose estimation, the positions of the faces on which the pose is to be estimated are specified manually. Therefore, the results are reported without studying the effect of misalignment. We propose a method based on partial least squares (PLS) regression to estimate pose and solve the alignment problem simultaneously. The contributions of this paper are two-fold: 1) we show that the kernel version of PLS (kPLS) achieves better than state-of-the-art results on the estimation problem and 2) we develop a technique to reduce misalignment based on the learned PLS factors.
SN  - 1063-6919
SN  - 978-1-4673-1226-4
UR  - http://dx.doi.org/10.1109/CVPR.2012.6247979
N1  - ISE
ID  - Murad Al Haj2012
ER  -