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ICPR
2004
IEEE
14 years 6 months ago
Illumination and Expression Invariant Face Recognition with One Sample Image
Most face recognition approaches either assume constant lighting condition or standard facial expressions, thus cannot deal with both kinds of variations simultaneously. This prob...
Brian C. Lovell, Shaokang Chen
KES
2005
Springer
13 years 11 months ago
Feature Generation by Simple FLD
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
Minoru Fukumi, Yasue Mitsukura
ICVS
2003
Springer
13 years 10 months ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock
CEC
2005
IEEE
13 years 11 months ago
Two-layered face detection system using evolutionary algorithm
This paper proposes a novel face detection method based on Principal Component Analysis (PCA) and Evolutionary Algorithm (EA). In a view-based approach to face detection, the face ...
Jun-Su Jang, Jong-Hwan Kim
MICAI
2000
Springer
13 years 9 months ago
Eigenfaces Versus Eigeneyes: First Steps Toward Performance Assessment of Representations for Face Recognition
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...
Teófilo Emídio de Campos, Rogé...