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» Face Recognition Based on 2D and 3D Features
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AC
2003
Springer
13 years 8 months ago
Influence of Location over Several Classifiers in 2D and 3D Face Verification
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
Susana Mata, Cristina Conde, Araceli Sánche...
CVPR
2006
IEEE
14 years 7 months ago
3D Facial Expression Recognition Based on Primitive Surface Feature Distribution
The creation of facial range models by 3D imaging systems has led to extensive work on 3D face recognition [19]. However, little work has been done to study the usefulness of such...
Jun Wang, Lijun Yin, Xiaozhou Wei, Yi Sun
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Face Recognition using 3D Summation Invariant Features
In this paper, we developed a family of 2D and 3D invariant features with applications to 3D human faces recognition. The main contributions of this paper are: (a) systematically ...
Wei-Yang Lin, Kin-Chung Wong, Yu Hu, Nigel Boston
CVIU
2006
214views more  CVIU 2006»
13 years 5 months ago
A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition
This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensio...
Kevin W. Bowyer, Kyong I. Chang, Patrick J. Flynn
ICCV
2005
IEEE
13 years 10 months ago
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surfac...
Yalin Wang, Ming-Chang Chiang, Paul M. Thompson