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» Components for Face Recognition
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CRV
2005
IEEE
132views Robotics» more  CRV 2005»
14 years 3 months ago
Face Recognition with Weighted Locally Linear Embedding
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...
Nathan Mekuz, Christian Bauckhage, John K. Tsotsos
ICPR
2004
IEEE
14 years 11 months ago
Nearest Intra-Class Space Classifier for Face Recognition
In this paper, we propose a novel classification method, called nearest intra-class space (NICS), for face recognition. In our method, the distribution of face patterns of each pe...
Stan Z. Li, Tieniu Tan, Wei Liu, Yunhong Wang
AMFG
2003
IEEE
102views Biometrics» more  AMFG 2003»
14 years 3 months ago
PCA-Based Face Recognition in Infrared Imagery: Baseline and Comparative Studies
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper u...
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer
PCM
2007
Springer
169views Multimedia» more  PCM 2007»
14 years 3 months ago
Random Subspace Two-Dimensional PCA for Face Recognition
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
BMVC
2010
13 years 7 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