Face Recognition Using Shape and Texture

14 years 1 months ago
Face Recognition Using Shape and Texture
We introduce in this paper a new face coding and recognition method which employs the Enhanced FLD (Fisher Linear Discrimimant) Model (EFM)on integrated shape (vector) and texture (`shape-jree' image) information. Shape encodes the feature geometry of a face while textureprovides a normalized shape-free image by warping the originalface image to the mean shape, i.e., the average of aligned shapes. The dimensionalities of the shape and the texture spaces are$rst reduced using Principal Component Analysis (PCA).The corresponding but reduced shape and texturefeatures are then integrated through a normalization procedure toform augmented features. The dimensionality reduction procedure, constrained by EFM for enhanced generalization, maintains a proper balance between the spectral energy needs of PCA for adequate representation, and the FLD discrimination requirements, that the eigenvalues of the within-class scatter matrix should not include small trailing values after the dimension...
Chengjun Liu, Harry Wechsler
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 1999
Where CVPR
Authors Chengjun Liu, Harry Wechsler
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