Face recognition using Laplacianfaces

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 27, Issue 3, 2005, Pages 328-340

  He, Xiaofei ^a   Yan, Shuicheng ^b   Hu, Yuxiao ^c   Niyogi, Partha ^a   Zhang, Hong Jiang ^c  

^a THE UNIVERSITY OF CHICAGO   (United States)

^b PEKING UNIVERSITY   (China)

^c MICROSOFT RESEARCH ASIA   (China)

Author keywords

Face manifold; Face recognition; Linear discriminant analysis; Locality preserving projections; Principal component analysis; Subspace learning

Indexed keywords

APPROXIMATION THEORY; DATA STRUCTURES; EIGENVALUES AND EIGENFUNCTIONS; GRAPH THEORY; IMAGE ANALYSIS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; PRINCIPAL COMPONENT ANALYSIS;

EUCLIDEAN STRUCTURE; FACE MANIFOLD; LAPLACE BELTRAMI OPERATOR; LAPLACIANFACE APPROACH; LINEAR DISCRIMINANT ANALYSIS (LDA); LOCALITY PRESERVING PROJECTIONS; SUBSPACE LEARNING;

FACE RECOGNITION;

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

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LINEAR MODELS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS;

EID: 15044358511     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.55     Document Type: Article

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