메뉴 건너뛰기




Volumn 1, Issue , 2007, Pages 1241-1244

Image PCA: A new approach for face recognition

Author keywords

Face recognition; Feature extraction; Image representation

Indexed keywords

DATABASE SYSTEMS; FACE RECOGNITION; IMAGE ANALYSIS; VECTOR QUANTIZATION;

EID: 34547547998     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366139     Document Type: Conference Paper
Times cited : (9)

References (8)
  • 1
    • 84975551912 scopus 로고
    • Low-Dimensional Procedure for Characterization of Human Faces
    • L. Sirovich and M. Kirby, "Low-Dimensional Procedure for Characterization of Human Faces," J. Optical Soc. Am., vol.4, pp.519-524, 1987.
    • (1987) J. Optical Soc. Am , vol.4 , pp. 519-524
    • Sirovich, L.1    Kirby, M.2
  • 2
    • 0025236073 scopus 로고
    • Application of the KL Procedure for the Characterization of Human Faces
    • Jan
    • M. Kirby and L. Sirovich, "Application of the KL Procedure for the Characterization of Human Faces," IEEE Trans. Pattern Analysis and Machine Intelligence, vol.12, no.1, pp.103-108, Jan.1990.
    • (1990) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.12 , Issue.1 , pp. 103-108
    • Kirby, M.1    Sirovich, L.2
  • 3
    • 0026065565 scopus 로고
    • Eigenfaces for Recognition
    • M. Turk and A. Pentland, "Eigenfaces for Recognition," J. Cognitive Neuroscience, vol.3, no.1, pp. 71-86, 1991.
    • (1991) J. Cognitive Neuroscience , vol.3 , Issue.1 , pp. 71-86
    • Turk, M.1    Pentland, A.2
  • 5
    • 3042674061 scopus 로고    scopus 로고
    • Chengjun Liu, Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition, IEEE Trans. Pattern Analysis and Machine Intelligence, 26, no.5, pp.572-581,May2004.
    • Chengjun Liu, "Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition", IEEE Trans. Pattern Analysis and Machine Intelligence, vol.26, no.5, pp.572-581,May2004.
  • 6
    • 3042674061 scopus 로고    scopus 로고
    • Chengjun Liu, Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition, IEEE Trans. Pattern Analysis and Machine Intelligence, 26, no.5, pp.572-581,May2004.
    • Chengjun Liu, "Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition", IEEE Trans. Pattern Analysis and Machine Intelligence, vol.26, no.5, pp.572-581,May2004.
  • 7
    • 0742268833 scopus 로고    scopus 로고
    • Two-dimensional PCA: A new approach to appearance based face representation and recognition
    • Jan
    • J. Yang, D. Zhang, A.F. Frangi, J.Y. Yang, "Two-dimensional PCA: a new approach to appearance based face representation and recognition", IEEE Trans. Pattern Analysis and Machine Intelligence, vol.26, no.1,pp.131-137, Jan 2004.
    • (2004) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.26 , Issue.1 , pp. 131-137
    • Yang, J.1    Zhang, D.2    Frangi, A.F.3    Yang, J.Y.4
  • 8
    • 27844449908 scopus 로고    scopus 로고
    • 2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition
    • 2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition", Neurocomputing 69, pp.224-231, 2005.
    • (2005) Neurocomputing , vol.69 , pp. 224-231
    • Zhang, D.1    Zhou, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.