Sciweavers

Share
ICPR
2006
IEEE

Robust Head Pose Estimation Using LGBP

10 years 11 months ago
Robust Head Pose Estimation Using LGBP
In this paper, we introduce a novel discriminative feature which is efficient for pose estimation. The multi-view face representation is based on Local Gabor Binary Patterns(LGBP) and encodes the local facial characteristics in to a compact feature histogram. In LGBP, Gabor filters can extract the feature of the orientation of head and Local Binary Pattern(LBP) can extract the features of facial local orientation. To keep the spatial information of the multi-view face images, LGBP is operated on many subregions of the images. The combination of them can represent well and truly the multi-view face images. Considering the derived feature space, a radial basis function(RBF) kernel SVM classifier is trained to estimate pose. Extensive experiments demonstrate that the facial representation can be effective for pose estimation.
Bingpeng Ma, Wenchao Zhang, Shiguang Shan, Xilin C
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors Bingpeng Ma, Wenchao Zhang, Shiguang Shan, Xilin Chen, Wen Gao
Comments (0)
books