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» Two Subspace Methods to Discriminate Faces and Clutters
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CIVR
2007
Springer
169views Image Analysis» more  CIVR 2007»
14 years 2 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
ICB
2007
Springer
142views Biometrics» more  ICB 2007»
13 years 11 months ago
Face Recognition by Discriminant Analysis with Gabor Tensor Representation
Abstract. This paper proposes a novel face recognition method based on discriminant analysis with Gabor tensor representation. Although the Gabor face representation has achieved g...
Zhen Lei, Rufeng Chu, Ran He, ShengCai Liao, Stan ...
PR
2010
126views more  PR 2010»
13 years 6 months ago
Discriminability and reliability indexes: Two new measures to enhance multi-image face recognition
In order to handle complex face image variations in face recognition, multi-image face recognition has been proposed, instead of using a single still-imagebased approach. In many ...
Weiwen Zou, Pong C. Yuen
ICIP
2006
IEEE
14 years 9 months ago
Local Discriminant Embedding with Tensor Representation
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
Jian Xia, Dit-Yan Yeung, Guang Dai
AUSAI
2005
Springer
14 years 1 months ago
New Feature Extraction Approaches for Face Recognition
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Vo Dinh Minh Nhat, Sungyoung Lee