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2012
IEEE

On partial least squares in head pose estimation: How to simultaneously deal with misalignment

7 years 4 months ago
On partial least squares in head pose estimation: How to simultaneously deal with misalignment
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.
Murad Al Haj, Jordi Gonzàlez, Larry S. Davi
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where CVPR
Authors Murad Al Haj, Jordi Gonzàlez, Larry S. Davis
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