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Volumn , Issue , 2009, Pages 1222-1225

Wrinkle feature-based skin age estimation scheme

Author keywords

Health care; Skin age; SVM classifier; Wrinkle features

Indexed keywords

AGE ESTIMATION; FEATURE-BASED; GROUND TRUTH; HEALTH CONDITION; HEALTHCARE SERVICES; HUMAN BODIES; IMAGE CAPTURING DEVICES; MULTICLASS SVM; NON-LINEAR; OUTER LAYER; PERSONAL DATA; PHYSICAL CONDITIONS; PROTOTYPE SYSTEM; REASONABLE ACCURACY; SELF-DIAGNOSIS; SVM CLASSIFIER; WRINKLE FEATURES;

EID: 70449574592     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2009.5202721     Document Type: Conference Paper
Times cited : (16)

References (7)
  • 1
    • 42449122256 scopus 로고    scopus 로고
    • Quantitative evaluation of elderly skin based on digital ima ge analysis
    • H. Tanaka et al., "Quantitative evaluation of elderly skin based on digital ima ge analysis," Skin research and technology, Vol. 14, 2008
    • (2008) Skin research and technology , vol.14
    • Tanaka, H.1
  • 2
    • 8344285050 scopus 로고    scopus 로고
    • Age and Gender Estimation Based on Facial Image Analysis
    • 2774, pp
    • Jun-Ichiro Hayashi et al. "Age and Gender Estimation Based on Facial Image Analysis," KES 2003, LNAI 2774, pp. 863-869, 2003
    • (2003) LNAI , vol.KES 2003 , pp. 863-869
    • Hayashi, J.-I.1
  • 5
    • 27144489164 scopus 로고    scopus 로고
    • A Tutorial on Support Vector Machines for Pattern Recognition
    • Christopher J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, Vol. 2, pp. 121 - 167, 1998
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.