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Volumn 2016-December, Issue , 2016, Pages 5543-5552

A 3D morphable model learnt from 10,000 faces

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; PATTERN RECOGNITION; PIPELINE CODES; PIPELINES; POPULATION DYNAMICS; POPULATION STATISTICS; QUALITY CONTROL;

EID: 84986276744     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.598     Document Type: Conference Paper
Times cited : (410)

References (32)
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    • 3D faces in motion: Fully automatic registration and statistical analysis
    • 2, 3
    • T. Bolkart and S. Wuhrer. 3D faces in motion: Fully automatic registration and statistical analysis. Computer Vision and Image Understanding, 131: 100-115, 2015.
    • (2015) Computer Vision and Image Understanding , vol.131 , pp. 100-115
    • Bolkart, T.1    Wuhrer, S.2
  • 14
    • 84906951108 scopus 로고    scopus 로고
    • Review of statistical shape spaces for 3d data with comparative analysis for human faces
    • 2, 3, 6, 7
    • A. Brunton, A. Salazar, T. Bolkart, and S. Wuhrer. Review of statistical shape spaces for 3d data with comparative analysis for human faces. Computer Vision and Image Understanding, 128: 1-17, 2014.
    • (2014) Computer Vision and Image Understanding , vol.128 , pp. 1-17
    • Brunton, A.1    Salazar, A.2    Bolkart, T.3    Wuhrer, S.4
  • 16
    • 84856686366 scopus 로고    scopus 로고
    • A facs valid 3d dynamic action unit database with applications to 3d dynamic morphable facial modeling
    • IEEE, 2, 4
    • D. Cosker, E. Krumhuber, and A. Hilton. A facs valid 3d dynamic action unit database with applications to 3d dynamic morphable facial modeling. In Computer Vision (ICCV), 2011 IEEE International Conference on, pages 2296-2303. IEEE, 2011.
    • (2011) Computer Vision (ICCV), 2011 IEEE International Conference on , pp. 2296-2303
    • Cosker, D.1    Krumhuber, E.2    Hilton, A.3
  • 22
    • 70349425850 scopus 로고    scopus 로고
    • Dlib-ml: A machine learning toolkit
    • 4
    • D. E. King. Dlib-ml: A machine learning toolkit. Journal of Machine Learning Research, 10: 1755-1758, 2009.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 1755-1758
    • King, D.E.1
  • 31
    • 79959582478 scopus 로고    scopus 로고
    • Active learning for solving the incomplete data problem in facial age classification by the furthest nearest-neighbor criterion
    • 8
    • J.-G. Wang, E. Sung, and W.-Y. Yau. Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion. IEEE Trans. Image Processing (TIP), 20 (7): 2049-2062, 2011.
    • (2011) IEEE Trans. Image Processing (TIP) , vol.20 , Issue.7 , pp. 2049-2062
    • Wang, J.-G.1    Sung, E.2    Yau, W.-Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.