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Volumn 4 CCIS, Issue , 2007, Pages 305-315

Occlusion Invariant Face Recognition Using Two-Dimensional PCA

Author keywords

2DPCA; Face recognition; occlusion invariance

Indexed keywords

ALGORITHMS; COMPUTER GRAPHICS; FEATURE EXTRACTION; IMAGE MATCHING; PRINCIPAL COMPONENT ANALYSIS;

EID: 84904860142     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-75274-5_21     Document Type: Conference Paper
Times cited : (19)

References (18)
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    • Estimation of eyeglassless facial images using principal component analysis
    • IEEE, Los Alamitos
    • Saito, Y., Kenmochi, Y., Kotani, K.: Estimation of eyeglassless facial images using principal component analysis. In: IEEE International Conference on Image Processing, vol. 4, pp. 192-201. IEEE, Los Alamitos (1999)
    • (1999) IEEE International Conference On Image Processing , vol.4 , pp. 192-201
    • Saito, Y.1    Kenmochi, Y.2    Kotani, K.3
  • 8
    • 0037341419 scopus 로고    scopus 로고
    • Reconstruction of partially damaged face images based on a morphable model
    • Hwang, B.W., Lee, S.W.: Reconstruction of partially damaged face images based on a morphable model. IEEE Trans. Pattern Analysis and Machine Intelligence 25(3), 365-372 (2003)
    • (2003) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.25 , Issue.3 , pp. 365-372
    • Hwang, B.W.1    Lee, S.W.2
  • 10
    • 0031651559 scopus 로고    scopus 로고
    • Eigentracking: Robust matching and tracking of articulated objects using a view-based representation
    • Black, M., Jepson, A.: Eigentracking: Robust matching and tracking of articulated objects using a view-based representation. International Journal of Computer Vision 26(1), 63-84 (1998)
    • (1998) International Journal of Computer Vision , vol.26 , Issue.1 , pp. 63-84
    • Black, M.1    Jepson, A.2
  • 13
    • 0036721691 scopus 로고    scopus 로고
    • From Image Vector to Matrix: A Straightforward Image Projection Technique-IMPCA vs. PCA
    • Yang, J., Yang, J.Y.: From Image Vector to Matrix: A Straightforward Image Projection Technique-IMPCA vs. PCA. Pattern Recognition 35(9), 1997-1999 (2002)
    • (2002) Pattern Recognition , vol.35 , Issue.9 , pp. 1997-1999
    • Yang, J.1    Yang, J.Y.2
  • 16
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401, 788-791 (1999)
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 18
    • 0036603236 scopus 로고    scopus 로고
    • Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class
    • Martinez, A.M.: Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class. IEEE Trans. Pattern Analysis and Machine Intelligence 24(6), 748-763 (2002)
    • (2002) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.24 , Issue.6 , pp. 748-763
    • Martinez, A.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.