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Volumn , Issue , 2010, Pages 280-284

Computers do better than experts matching faces in a large population

Author keywords

Face verification; Human machine partnership; Performance evaluation of algorithm and human

Indexed keywords

CASCADE SYSTEMS; FACE IMAGES; FACE MATCHING; FACE RECOGNITION ALGORITHMS; FACE VERIFICATION; HUMAN-MACHINE; LARGE POPULATION; PERFORMANCE EVALUATION OF ALGORITHM AND HUMAN; REAL WORLD SITUATIONS; SECURITY APPLICATION;

EID: 78649891395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COGINF.2010.5599727     Document Type: Conference Paper
Times cited : (7)

References (10)
  • 2
    • 33744968466 scopus 로고    scopus 로고
    • Face recognition from a single image per person: A survey
    • DOI 10.1016/j.patcog.2006.03.013, PII S0031320306001270
    • X. Tan, S. Chen, Z.H. Zhou, and F. Y. Zhang, "Face recognition from a single image per person: A survey," Pattern Recognition, vol. 39, no. 9, pp. 1725-1745, September 2006. (Pubitemid 43867575)
    • (2006) Pattern Recognition , vol.39 , Issue.9 , pp. 1725-1745
    • Tan, X.1    Chen, S.2    Zhou, Z.-H.3    Zhang, F.4
  • 6
    • 37149000901 scopus 로고    scopus 로고
    • FRVT 2006 and ICE 2006 large-scale results
    • March
    • P. J. Phillips et al., "FRVT 2006 and ICE 2006 Large-Scale Results," Technical Report NISTIR 7408, http://www.frvt.org, March 2007.
    • (2007) Technical Report NISTIR 7408
    • Phillips, P.J.1
  • 7
    • 34548136156 scopus 로고    scopus 로고
    • Face recognition algorithms surpass humans matching faces over changes in illumination
    • September
    • A. J. O'Toole et al., "Face Recognition Algorithms Surpass Humans Matching Faces over Changes in Illumination," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 11, pp. 1642-1646, September 2007.
    • (2007) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.29 , Issue.11 , pp. 1642-1646
    • O'toole, A.J.1
  • 8
    • 33947369065 scopus 로고    scopus 로고
    • Face recognition by humans: Nineteen results all computer vision researchers should know about
    • November, pp. 271-350
    • P. Sinha, B. Balas, Y. Ostrovsky, and R. Russell, "Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About," Proceedings of IEEE, vol. 94, no. 11, pp. 1948-1962, November 2006, pp. 271-350.
    • (2006) Proceedings of IEEE , vol.94 , Issue.11 , pp. 1948-1962
    • Sinha, P.1    Balas, B.2    Ostrovsky, Y.3    Russell, R.4
  • 9
    • 39749101011 scopus 로고    scopus 로고
    • Predicting human performance for face recognition
    • W. Y. Zhao and R. Chellappa, Eds., New York : Academic
    • A.J. O'Toole, F. Jiang, D. Roark, and H. Abdi, "Predicting Human Performance for Face Recognition," in Face Processing: Advanced Methods and Models, W. Y. Zhao and R. Chellappa, Eds., New York : Academic, 2006, pp. 293-319.
    • (2006) Face Processing: Advanced Methods and Models , pp. 293-319
    • O'toole, A.J.1    Jiang, F.2    Roark, D.3    Abdi, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.