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SIBGRAPI
2005
IEEE
14 years 2 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies
AAAI
2006
13 years 10 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
14 years 1 months ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
CVPR
2007
IEEE
14 years 10 months ago
Using Stereo Matching for 2-D Face Recognition Across Pose
We propose using stereo matching for 2-D face recognition across pose. We match one 2-D query image to one 2-D gallery image without performing 3-D reconstruction. Then the cost o...
Carlos D. Castillo, David W. Jacobs
CVPR
2008
IEEE
14 years 10 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