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» Linear Regression for Face Recognition
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ICCV
2005
IEEE
16 years 1 months ago
Face Recognition in the Presence of Multiple Illumination Sources
We propose an algorithm to recognize faces illuminated by arbitrarily placed, multiple light sources. The algorithm does not need to know the number of light sources and works extr...
Gaurav Aggarwal, Rama Chellappa
ICCV
2005
IEEE
16 years 1 months ago
Using Eye Reflections for Face Recognition Under Varying Illumination
Face recognition under varying illumination remains a challenging problem. Much progress has been made toward a solution through methods that require multiple gallery images of ea...
Ko Nishino, Peter N. Belhumeur, Shree K. Nayar
CIVR
2007
Springer
169views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Whitened LDA for face recognition
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...
Vo Dinh Minh Nhat, Sungyoung Lee, Hee Yong Youn
IWANN
2005
Springer
15 years 5 months ago
Block LDA for Face Recognition
Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee
TKDE
2011
479views more  TKDE 2011»
14 years 6 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang