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ICB
2007
Springer
176views Biometrics» more  ICB 2007»
14 years 2 months ago
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
ICIP
2002
IEEE
15 years 18 days ago
A proposal for high compression of faces in video sequences using adaptive eigenspaces
This paper presents a proposal for a novel video coding scheme intended to encode human faces in video sequences at very high compression using a recognition and reconstruction ap...
Luis Torres, Daniel Prado
ICIP
1999
IEEE
15 years 17 days ago
The Importance of the Color Information in Face Recognition
A common feature found in practically all technical approaches proposed for face recognition is the use of only the luminance information associated to the face image. One may won...
Luis Torres, Jean-Yves Reutter, Luis Lorente
3DPVT
2006
IEEE
194views Visualization» more  3DPVT 2006»
14 years 5 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
14 years 14 days 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 ...