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PR
2010
170views more  PR 2010»
13 years 5 months ago
Sparsity preserving projections with applications to face recognition
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
ICASSP
2010
IEEE
13 years 7 months ago
Removing illumination artifacts from face images using the nuisance attribute projection
Illumination induced appearance changes represent one of the open challenges in automated face recognition systems still significantly influencing their performance. Several tec...
Vitomir Struc, Bostjan Vesnicer, France Mihelic, N...
CVPR
2006
IEEE
14 years 1 months ago
3D Face Recognition Using 3D Alignment for PCA
This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA f...
Trina Russ, Chris Boehnen, Tanya Peters
PR
2007
145views more  PR 2007»
13 years 7 months ago
Face recognition using a kernel fractional-step discriminant analysis algorithm
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
Guang Dai, Dit-Yan Yeung, Yuntao Qian
IJCV
2006
124views more  IJCV 2006»
13 years 7 months ago
Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction
Understanding facial expressions in image sequences is an easy task for humans. Some of us are capable of lipreading by interpreting the motion of the mouth. Automatic lipreading b...
Michal Aharon, Ron Kimmel