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» New Feature Extraction Approaches for Face Recognition
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CVPR
2005
IEEE
16 years 8 months ago
Shape Matching and Object Recognition Using Low Distortion Correspondences
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
Alexander C. Berg, Tamara L. Berg, Jitendra Malik
ICMCS
2005
IEEE
90views Multimedia» more  ICMCS 2005»
15 years 12 months ago
Eye Detection Under Unconstrained Background by the Terrain Feature
Locating eyes in face images is an important step for automatic face analysis and recognition. In this paper, we present a novel approach for eye detection without finding the fa...
Jun Wang, Lijun Yin
CVPR
2008
IEEE
16 years 8 months ago
Robust 3D face recognition in uncontrolled environments
Most current 3D face recognition algorithms are designed based on the data collected in controlled situations, which leads to the un-guaranteed performance in practical systems. I...
Cheng Zhong, Zhenan Sun, Tieniu Tan, Zhaofeng He
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
16 years 25 days ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li
CVPR
2007
IEEE
16 years 8 months ago
Skin Detail Analysis for Face Recognition
This paper presents a novel framework to localize in a photograph prominent irregularities in facial skin, in particular nevi (moles, birthmarks). Their characteristic configurati...
Jean-Sebastien Pierrard, Thomas Vetter