Background learning for robust face recognition with PCA in the presence of clutter

IEEE Transactions on Image Processing

Volumn 14, Issue 6, 2005, Pages 832-843

  Rajagopalan, A N ^a   Chellappa, Rama ^b   Koterba, Nathan T ^b,c  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

^b UNIVERSITY OF MARYLAND   (United States)

^c JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

Author keywords

Clutter; Eigenbackground; Eigenface; Fisher's linear discriminant (FLD); Principal component analysis (PCA)

Indexed keywords

CLUTTER (INFORMATION THEORY); EIGENVALUES AND EIGENFUNCTIONS; LEARNING SYSTEMS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS;

EIGENBACKGROUND; EIGENFACE RECOGNITION; FISCHER LINEAR DISCRIMINANT;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 20444405299     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2005.847288     Document Type: Article

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