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Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 3658-3666

Robust facial landmark detection under significant head poses and occlusion

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; ITERATIVE METHODS; REGRESSION ANALYSIS; VISIBILITY;

EID: 84973896892     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.417     Document Type: Conference Paper
Times cited : (112)

References (30)
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    • Real-time facial feature detection using conditional regression forests
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    • (2012) CVPR
    • Dantone, M.1    Gall, J.2    Fanelli, G.3    Gool, L.V.4
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    • Reducing the dimensionality of data with neural networks
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    • G. E. Hinton and R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, July 2006.
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    • Hinton, G.E.1    Salakhutdinov, R.R.2
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    • Discriminative deep face shape model for facial point detection
    • Y. Wu and Q. Ji. Discriminative deep face shape model for facial point detection. International Journal of Computer Vision, pages 1-17, 2014.
    • (2014) International Journal of Computer Vision , pp. 1-17
    • Wu, Y.1    Ji, Q.2
  • 28
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    • Consensus of regression for occlusion-robust facial feature localization
    • D. Fleet, T. Pajdla, B. Schiele, and T. Tuytelaars, editors. Springer
    • X. Yu, Z. Lin, J. Brandt, and D. N. Metaxas. Consensus of regression for occlusion-robust facial feature localization. In D. Fleet, T. Pajdla, B. Schiele, and T. Tuytelaars, editors, Computer Vision-ECCV 2014, volume 8692 of Lecture Notes in Computer Science, pages 105-118. Springer, 2014.
    • (2014) Computer Vision-ECCV 2014, Volume 8692 of Lecture Notes in Computer Science , pp. 105-118
    • Yu, X.1    Lin, Z.2    Brandt, J.3    Metaxas, D.N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.