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» Face Recognition using 3D Summation Invariant Features
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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
14 years 2 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
FGR
2006
IEEE
171views Biometrics» more  FGR 2006»
14 years 2 months ago
Automatic Feature Extraction for Multiview 3D Face Recognition
Current 2D face recognition systems encounter difficulties in recognizing faces with large pose variations. Utilizing the pose-invariant features of 3D face data has the potentia...
Xiaoguang Lu, Anil K. Jain
CVPR
2007
IEEE
14 years 2 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
DICTA
2003
13 years 10 months ago
3D Face Recognition Using Longitudinal Section and Transection
In this paper, a new practical implementation of a person verification system using features of longitudinal section and transection and other facial, rotation compensated 3D face ...
Yeung-hak Lee
BMVC
2010
13 years 6 months ago
Robust 3D Face Recognition by Using Shape Filtering
Achieving high accuracy in the presence of expression variation remains one of the most challenging aspects of 3D face recognition. In this paper, we propose a novel recognition a...
Liang Cai, Feipeng Da