메뉴 건너뛰기




Volumn 57, Issue 2, 2004, Pages 137-154

Robust Real-Time Face Detection

Author keywords

Boosting; Face detection; Human sensing

Indexed keywords

IMAGE ANALYSIS; INFORMATION ANALYSIS; INTEGRAL EQUATIONS; LEARNING ALGORITHMS; MATHEMATICAL OPERATORS; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 2142812371     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:VISI.0000013087.49260.fb     Document Type: Article
Times cited : (11377)

References (22)
  • 1
    • 0033208584 scopus 로고    scopus 로고
    • A computational model for visual selection
    • Amit, Y. and Geman, D. 1999. A computational model for visual selection. Neural Computation, 11:1691-1715.
    • (1999) Neural Computation , vol.11 , pp. 1691-1715
    • Amit, Y.1    Geman, D.2
  • 2
    • 0005090507 scopus 로고
    • Summed-area tables for texture mapping
    • Crow, F. 1984. Summed-area tables for texture mapping. In Proceedings of SIGGRAPH, 18(3)1207-212.
    • (1984) Proceedings of SIGGRAPH , vol.18 , Issue.3 , pp. 1207-1212
    • Crow, F.1
  • 5
    • 84983110889 scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Springer-Verlag
    • Freund, Y. and Schapire, R.E. 1995. A decision-theoretic generalization of on-line learning and an application to boosting. In Computational Learning Theory: Eurocolt 95, Springer-Verlag, pp. 23-37.
    • (1995) Computational Learning Theory: Eurocolt 95 , pp. 23-37
    • Freund, Y.1    Schapire, R.E.2
  • 7
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • Itti, L., Koch, C., and Niebur, E. 1998. A model of saliency-based visual attention for rapid scene analysis. IEEE Patt. Anal. Mach. Intell., 20(11):1254-1259.
    • (1998) IEEE Patt. Anal. Mach. Intell. , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 12
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J. 1986. Induction of decision trees. Machine Learning, 1:81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.1
  • 16
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • Schapire, R.E., Freund, Y., Bartlett, P., and Lee, W.S. 1998. Boosting the margin: A new explanation for the effectiveness of voting methods. Ann. Stat., 26(5):1651-1686.
    • (1998) Ann. Stat. , vol.26 , Issue.5 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.3    Lee, W.S.4
  • 17
    • 0033682228 scopus 로고    scopus 로고
    • A statistical method for 3D object detection applied to faces and cars
    • object detection applied to faces and cars. In International Conference on Computer Vision
    • Schneiderman, H. and Kanade, T. 2000. A statistical method for 3D object detection applied to faces and cars. In International Conference on Computer Vision.
    • (2000) International Conference on Computer Vision
    • Schneiderman, H.1    Kanade, T.2
  • 18
    • 84899024437 scopus 로고    scopus 로고
    • Boxlets: A fast convolution algorithm for signal processing and neural networks
    • M. Kearns, S. Solla, and D. Cohn (Eds.)
    • Simard, P.Y., Bottou, L., Haffner, P., and LeCun, Y. (1999). Boxlets: A fast convolution algorithm for signal processing and neural networks. In M. Kearns, S. Solla, and D. Cohn (Eds.), Advances in Neural Information Processing Systems, vol. 11, pp. 571-577.
    • (1999) Advances in Neural Information Processing Systems , vol.11 , pp. 571-577
    • Simard, P.Y.1    Bottou, L.2    Haffner, P.3    LeCun, Y.4
  • 19
    • 0031648023 scopus 로고    scopus 로고
    • Example-based learning for view-based face detection
    • Sung, K. and Poggio, T. 1998. Example-based learning for view-based face detection. IEEE Patt. Anal Mach. Intell., 20:39-51.
    • (1998) IEEE Patt. Anal Mach. Intell. , vol.20 , pp. 39-51
    • Sung, K.1    Poggio, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.