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PRL
2007
147views more  PRL 2007»
13 years 9 months ago
Volume measure in 2DPCA-based face recognition
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
Jicheng Meng, Wenbin Zhang
CVPR
2007
IEEE
14 years 4 months ago
Robust 3D Face Recognition Using Learned Visual Codebook
In this paper, we propose a novel learned visual codebook (LVC) for 3D face recognition. In our method, we first extract intrinsic discriminative information embedded in 3D faces...
Cheng Zhong, Zhenan Sun, Tieniu Tan
3DPVT
2006
IEEE
247views Visualization» more  3DPVT 2006»
14 years 4 months ago
Automatic 3D Face Detection, Normalization and Recognition
A fully automatic 3D face recognition algorithm is presented. Several novelties are introduced to make the recognition robust to facial expressions and efficient. These novelties...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
AVSS
2009
IEEE
13 years 7 months ago
3D Face Recognition Using Multiview Keypoint Matching
A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate eac...
Michael Mayo, Edmond Zhang
CVPR
2001
IEEE
14 years 12 months ago
A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognit...
J. Ross Beveridge, Kai She, Bruce A. Draper, Geof ...