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Volumn , Issue , 2007, Pages 19-25

Multi-frame approaches to improve face recognition

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; CAMERAS; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; VIDEO SIGNAL PROCESSING;

EID: 34547359102     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WMVC.2007.29     Document Type: Conference Paper
Times cited : (11)

References (13)
  • 1
    • 10044292215 scopus 로고    scopus 로고
    • G. Aggarwal, A. K. Chowdhury, and R. Chellappa. A system identification approach for video-based face recognition. Proc. ICIP, pages IV: 175-178, 2004.
    • G. Aggarwal, A. K. Chowdhury, and R. Chellappa. A system identification approach for video-based face recognition. Proc. ICIP, pages IV: 175-178, 2004.
  • 2
    • 34547244357 scopus 로고    scopus 로고
    • R. Beveridge, B. D., T. M., and B. Draper. Evaluation of face recognition algorithm. http://www.cs.colostate.edu/evalfacerec, 2003.
    • R. Beveridge, B. D., T. M., and B. Draper. Evaluation of face recognition algorithm. http://www.cs.colostate.edu/evalfacerec, 2003.
  • 3
    • 34547299157 scopus 로고    scopus 로고
    • A framework for face recognition from video sequences using gwn and eigenfeature selection
    • T. E. Campos, R. Feris, and R. M. Cesar Junior. A framework for face recognition from video sequences using gwn and eigenfeature selection. Proc. WAICV, pages 141-145, 2000.
    • (2000) Proc. WAICV , pp. 141-145
    • Campos, T.E.1    Feris, R.2    Cesar Junior, R.M.3
  • 4
  • 5
    • 5044230669 scopus 로고    scopus 로고
    • A discriminative feature space for detecting and recognizing faces
    • 797-804
    • A. Hadid, M. Pietikäinen, and T. Ahonen. A discriminative feature space for detecting and recognizing faces. In Proc. CVPR, pages 11:797-804, 2004.
    • (2004) Proc. CVPR , pp. 11
    • Hadid, A.1    Pietikäinen, M.2    Ahonen, T.3
  • 8
    • 18244422049 scopus 로고    scopus 로고
    • K. Lee, J. Ho, M. Yang, and D. Kriegman. Video-based face recognition using probabilistic appearance manifolds. Proc. CVPR, pages I: 313-320, 2003.
    • K. Lee, J. Ho, M. Yang, and D. Kriegman. Video-based face recognition using probabilistic appearance manifolds. Proc. CVPR, pages I: 313-320, 2003.
  • 9
    • 23844554860 scopus 로고    scopus 로고
    • Visual tracking and recognition using probabilistic appearance manifolds
    • K. Lee, J. Ho, M. Yang, and D. Kriegman. Visual tracking and recognition using probabilistic appearance manifolds. Computer Vision and Image Understanding, 99(3):303-331, 2005.
    • (2005) Computer Vision and Image Understanding , vol.99 , Issue.3 , pp. 303-331
    • Lee, K.1    Ho, J.2    Yang, M.3    Kriegman, D.4
  • 10
    • 85118286681 scopus 로고    scopus 로고
    • K. Lee and D. Kriegman. Online learning of probabilistic appearance manifolds for video-based recognition and tracking. Proc. CVPR, pages I: 852-859, 2005.
    • K. Lee and D. Kriegman. Online learning of probabilistic appearance manifolds for video-based recognition and tracking. Proc. CVPR, pages I: 852-859, 2005.
  • 13
    • 34147186066 scopus 로고    scopus 로고
    • Beyond one still image: Face recognition from multiple still images of sequences
    • W. Zhao and R. Chellappa, editors, Morgan and Claypool Publishers
    • S. K. Zhou and R. Chellappa. Beyond one still image: Face recognition from multiple still images of sequences. In W. Zhao and R. Chellappa, editors, Face Processing: Advanced Models and Methods. Morgan and Claypool Publishers, 2005.
    • (2005) Face Processing: Advanced Models and Methods
    • Zhou, S.K.1    Chellappa, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.