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Volumn , Issue , 2012, Pages

Multisensor fusion of visual and thermal images for human face identification using different SVM kernels

Author keywords

face identification; Incremental Principal Component Analysis (IPCA); pixel fusion; Support Vector Mechine (SVM); thermal image

Indexed keywords

CLASS LABELS; CLASSIFICATION TASKS; CO-VARIANCE; EIGENVALUE DECOMPOSITION; FACE DATABASE; FACE IDENTIFICATION; FACE IMAGES; FUSED IMAGES; GAUSSIANS; HEAT PATTERNS; HUMAN FACE IDENTIFICATION; ILLUMINATION CHANGES; INCREMENTAL PRINCIPAL COMPONENT ANALYSIS; INFRARED SPECTRUM; IR IMAGERY; LINEAR KERNEL; MULTI-DIMENSIONAL SPACE; MULTICLASS SVM; OPTIMIZATION METHOD; PIXEL INFORMATION; ROBUST SOLUTIONS; SUPPORT VECTOR; SURROUNDING ENVIRONMENT; TEMPERATURE CHANGES; THERMAL IMAGES; THERMAL SPECTRA; VISUAL IMAGE; VISUAL IMAGERY;

EID: 84864272319     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LISAT.2012.6223195     Document Type: Conference Paper
Times cited : (14)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.