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JMM2
2008
157views more  JMM2 2008»
13 years 10 months ago
Multiresolution Feature Based Fractional Power Polynomial Kernel Fisher Discriminant Model for Face Recognition
This paper presents a technique for face recognition which uses wavelet transform to derive desirable facial features. Three level decompositions are used to form the pyramidal mul...
Dattatray V. Jadhav, Jayant V. Kulkarni, Raghunath...
ICIP
2003
IEEE
14 years 11 months ago
Optimal Gabor kernel location selection for face recognition
In local feature?based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition acc...
Berk Gökberk, Ethem Alpaydin, Lale Akarun, M....
ICCV
2005
IEEE
14 years 12 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
3DPVT
2006
IEEE
194views Visualization» more  3DPVT 2006»
14 years 4 months ago
Expression Compensation for Face Recognition Using a Polar Geodesic Representation
This paper addresses the problem of face recognition in the presence of deformation due to expressions. Facial motion is considered as an isometric mapping between surfaces, which...
Iordanis Mpiperis, Sotiris Malassiotis, Michael G....
IPCV
2008
13 years 11 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...