메뉴 건너뛰기




Volumn , Issue , 2013, Pages 775-780

Using 3d models to recognize 2d faces in the wild

Author keywords

3D Models; Face Recognition; PTZ Camera

Indexed keywords

3-D ACQUISITIONS; 3D MODELS; FACE RECOGNITION SYSTEMS; HIGH RESOLUTION; PTZ CAMERA; SINGLE MODELS; SPARSE RECONSTRUCTION; UNCOOPERATIVE ENVIRONMENTS;

EID: 84884933185     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2013.116     Document Type: Conference Paper
Times cited : (15)

References (17)
  • 2
    • 84869192642 scopus 로고    scopus 로고
    • Posterity logging of face imagery for video surveillance
    • oct-dec. 3, 5
    • A. D. Bagdanov, A. Del Bimbo, F. Dini, G. Lisanti, and I. Masi. Posterity logging of face imagery for video surveillance. IEEE Multimedia, 19(4):48-59, oct-dec 2012. 3, 5
    • (2012) IEEE Multimedia , vol.19 , Issue.4 , pp. 48-59
    • Bagdanov, A.D.1    Bimbo, A.D.2    Dini, F.3    Lisanti, G.4    Masi, I.5
  • 4
    • 84858437448 scopus 로고    scopus 로고
    • Multipleshot person re-identification by chromatic and epitomic analyses
    • 5
    • L. Bazzani, M. Cristani, A. Perina, and V. Murino. Multipleshot person re-identification by chromatic and epitomic analyses. Pattern Recognition Letters, 33(7):898-903, 2012. 5
    • (2012) Pattern Recognition Letters , vol.33 , Issue.7 , pp. 898-903
    • Bazzani, L.1    Cristani, M.2    Perina, A.3    Murino, V.4
  • 10
    • 84856253103 scopus 로고    scopus 로고
    • Kernel sparse representation with local patterns for face recognition
    • C. Kang, S. Liao, S. Xiang, and C. Pan. Kernel sparse representation with local patterns for face recognition. In ICIP, pages 3009-3012, 2011. 2
    • (2011) ICIP , pp. 3009-3012
    • Kang, C.1    Liao, S.2    Xiang, S.3    Pan, C.4
  • 11
    • 33646801648 scopus 로고    scopus 로고
    • A methodology for evaluating robustness of face recognition algorithms with respect to variations in pose angle and illumination angle
    • G. Little, S. Krishna, J. Black, and S. Panchanathan. A methodology for evaluating robustness of face recognition algorithms with respect to variations in pose angle and illumination angle. In International Conference on Acoustics, Speech, and Signal 2005, volume 2, pages 89-92, 2005. 4
    • (2005) International Conference on Acoustics, Speech, and Signal 2005 , vol.2 , pp. 89-92
    • Little, G.1    Krishna, S.2    Black, J.3    Panchanathan, S.4
  • 12
    • 76749107542 scopus 로고    scopus 로고
    • Online learning for matrix factorization and sparse coding
    • Mar
    • J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online learning for matrix factorization and sparse coding. J. Mach. Learn. Res., 11:19-60, Mar. 2010. 3
    • (2010) J. Mach. Learn. Res , vol.11 , pp. 19-60
    • Mairal, J.1    Bach, F.2    Ponce, J.3    Sapiro, G.4
  • 13
    • 77955996388 scopus 로고    scopus 로고
    • Learning appearance in virtual scenarios for pedestrian detection
    • J. Marn, D. Vzquez, D. Gernimo, and A. M. Lpez. Learning appearance in virtual scenarios for pedestrian detection. In CVPR, pages 137-144, 2010. 2
    • (2010) CVPR , pp. 137-144
    • Marn, J.1    Vzquez, D.2    Gernimo, D.3    Lpez, A.M.4
  • 17
    • 67649414924 scopus 로고    scopus 로고
    • Face recognition across pose: A review
    • Nov. 2
    • X. Zhang and Y. Gao. Face recognition across pose: A review. Pattern Recogn., 42(11):2876-2896, Nov. 2009. 2
    • (2009) Pattern Recogn. , vol.42 , Issue.11 , pp. 2876-2896
    • Zhang, X.1    Gao, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.