Using gradient features from scale-invariant keypoints on face recognition

International Journal of Innovative Computing, Information and Control

Volumn 7, Issue 4, 2011, Pages 1639-1649

  Lin, Shinfeng D ^a   Lin, Jia Hqng ^a   Chiang, Cheng Chin ^a  

^a NATIONAL DONG HWA UNIVERSITY   (Taiwan)

Author keywords

Face recognition; Principal component analysis; Scale invariant feature transform

Indexed keywords

COMPARATIVE METHODS; COMPUTATION EFFICIENCY; COMPUTATION TIME; DESCRIPTORS; DIMENSION REDUCTION; FEATURE VECTORS; GLOBAL INFORMATIONS; GRADIENT FEATURE; HUMAN FACES; IMAGE SCALING; INDIVIDUAL IDENTIFICATION; K-MEANS ALGORITHM; KEYPOINTS; LOCAL DESCRIPTORS; LOCAL GRADIENTS; PRINCIPAL COMPONENTS; SCALE INVARIANT FEATURE TRANSFORM; SCALE INVARIANT FEATURE TRANSFORMS; SCALE-INVARIANT; SECURITY APPLIANCES; SIMULATION RESULT;

ACCESS CONTROL; CLUSTERING ALGORITHMS; FACE RECOGNITION; FEATURE EXTRACTION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 79952561404     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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