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FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
14 years 22 days ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
ECCV
2004
Springer
14 years 2 months ago
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
Lei Zhang 0002, Dimitris Samaras
ICIP
2009
IEEE
13 years 6 months ago
Face identification using linear regression
In this paper we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...
Imran Naseem, Roberto Togneri, Mohammed Bennamoun
ICMCS
2005
IEEE
229views Multimedia» more  ICMCS 2005»
14 years 2 months ago
A methodology for improving recognition rate of linear discriminant analysis in video-based face recognition using support vecto
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
Sreekar Krishna, Sethuraman Panchanathan
ICTAI
2008
IEEE
14 years 3 months ago
Face Recognition Using a Color Subspace LDA Approach
This paper delves into the problem of face recognition using color as an important cue in improving the accuracy of recognition. To perform recognition of color images, we use the...
Mani Thomas, Chandra Kambhamettu, Senthil Kumar