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» Incremental Kernel SVD for Face Recognition with Image Sets
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FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
13 years 8 months 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
AMC
2005
128views more  AMC 2005»
13 years 4 months ago
A new face recognition method based on SVD perturbation for single example image per person
At present, there are many methods for frontal view face recognition. However, few of them can work well when only one example image per class is available. In this paper, we pres...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ICIP
1997
IEEE
14 years 6 months ago
SVD and log-log frequency sampling with Gabor kernels for invariant pictorial recognition
This paper presents an e cient scheme for a neinvariant object recognition. A ne invariance is obtained by a representation which is based on a new sampling con guration in the fr...
Zhiqian Wang, Jezekiel Ben-Arie
ACCV
2007
Springer
13 years 10 months ago
Kernel Discriminant Analysis Based on Canonical Differences for Face Recognition in Image Sets
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
Wen-Sheng Vincent Chu, Ju-Chin Chen, Jenn-Jier Jam...
PR
2008
115views more  PR 2008»
13 years 4 months ago
Fractional order singular value decomposition representation for face recognition
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
Jun Liu, Songcan Chen, Xiaoyang Tan