Two dimensional principal components of natural images and its application

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 2745-2753

  Wang, Dong ^a   Lu, Huchuan ^a   Li, Xuelong ^a,b  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

Author keywords

2DPCA; Natural images; PCA; Principal components; Two dimensional principal components

Indexed keywords

2DPCA; FACIAL EXPRESSION RECOGNITION; FUNDAMENTAL COMPONENT; INTERPRETABILITY; MULTI-CLASS; NATURAL IMAGES; PCA; PRINCIPAL COMPONENTS; REAL APPLICATIONS; RECEPTIVE FIELDS; TEXTURE FEATURES;

COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; GESTURE RECOGNITION; TEXTURES; TWO DIMENSIONAL;

FACE RECOGNITION;

ALGORITHM; ARTICLE; CONTROLLED STUDY; FACIAL EXPRESSION; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING; NATURAL IMAGE; PRINCIPAL COMPONENT ANALYSIS; PRINCIPAL COMPONENT OF NATURAL IMAGE; PRIORITY JOURNAL; RECEPTIVE FIELD; STATISTICAL CONCEPTS; STATISTICAL TEXTURE FEATURE; TWO DIMENSIONAL PRINCIPAL COMPONENT OF NATURAL IMAGE; VISUAL MEMORY;

EID: 80052933630     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.03.047     Document Type: Article

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