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» Robust 3D Face Recognition Using Learned Visual Codebook
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CVPR
2007
IEEE
13 years 11 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
ICIP
2008
IEEE
13 years 11 months ago
Learning efficient codes for 3D face recognition
Face representation based on the Visual Codebook becomes popular because of its excellent recognition performance, in which the critical problem is how to learn the most efficien...
Cheng Zhong, Zhenan Sun, Tieniu Tan
ICB
2009
Springer
148views Biometrics» more  ICB 2009»
13 years 2 months ago
Fuzzy 3D Face Ethnicity Categorization
In this paper, we propose a novel fuzzy 3D face ethnicity categorization algorithm, which contains two stages, learning and mapping. In learning stage, the visual codes are first l...
Cheng Zhong, Zhenan Sun, Tieniu Tan
3DPVT
2006
IEEE
247views Visualization» more  3DPVT 2006»
13 years 10 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
CVPR
1999
IEEE
14 years 6 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie