E-2DLDA: A new matrix-based image representation method for face recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4233 LNCS - II, Issue , 2006, Pages 236-243

  Long, Fei ^a   Dong, Huailin ^a   Fan, Ling ^a   Chen, Haishan ^a  

^a XIAMEN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; FACE RECOGNITION; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; STORAGE ALLOCATION (COMPUTER);

FEATURE MATRIX; STORAGE REQUIREMENTS; TWO-DIMENSIONAL LINEAR DISCRIMINANT ANALYSIS (2DLDA);

IMAGE PROCESSING;

EID: 33750683006     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (7)

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4. Turk, M., et. al.: Eigenfaces for face recognition. Journal of Cognitive Neuroscience, vol. 3. (1991) 71-86.
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7. Ming Li, Baozong Yuan.: 2D-LDA: A novel statistical linear discriminant analysis for image matrix. Pattern Recognition Letters, vol. 26. (2005) 527-532.