Reconstruction Network for single-face detection and landmark localization-Reference-Cited by-同舟云学术

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Reconstruction Network for single-face detection and landmark localization

Published:2017-08 Issue:8 Volume:49 Page:
ISSN:0306-8919
Container-title:Optical and Quantum Electronics
language:en
Short-container-title:Opt Quant Electron

Author:

Yu Bo,Lane Ian,Chen Fang

Funder

National Natural Science Foundation of China

International Partnership Program of the Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/article/10.1007/s11082-017-1118-0/fulltext.html

Reference16 articles.

1. Belhumeur, P.N., Jacobs, D.W., Kriegman, D.J., Kumar, N.: Localizing parts of faces using a consensus of exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 35(12), 2930–2940 (2013)

2. Chin, C., Brown, D.E.: Learning in science: a comparison of deep and surface approaches. J. Res. Sci. Teach. 37(2), 109–138 (2000)

3. Colombo, A., Cusano, C., Schettini, R.: 3D face detection using curvature analysis. Pattern Recogn. 39(3), 444–455 (2006)

4. Dibeklioğlu, H., Salah, A.A., Akarun, L.: 3D facial landmarking under expression, pose, and occlusion variations. In: Biometrics: Theory, Applications and Systems, 2008. BTAS 2008. 2nd IEEE International Conference on 2008, pp. 1–6. IEEE

5. Huynh, T., Min, R., Dugelay, J.-L.: An efficient LBP-based descriptor for facial depth images applied to gender recognition using RGB-D face data. In: Computer Vision-ACCV 2012 Workshops 2013, pp. 133–145. Springer

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