Unseen head pose prediction using dense multivariate label distribution-Reference-Cited by-同舟云学术

Unseen head pose prediction using dense multivariate label distribution

Published:2016-06 Issue:6 Volume:17 Page:516-526
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Frontiers Inf Technol Electronic Eng

Author:

Sang Gao-li,Chen Hu,Huang Ge,Zhao Qi-jun

Funder

National Key Scientific Instrument and Equipment Development Project of China

National Natural Science Foundation of China

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

http://link.springer.com/article/10.1631/FITEE.1500235/fulltext.html

Reference32 articles.

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3. Bowyer, K.W., Chang, K., Flynn, P., 2006. A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition. Comput. Vis. Image Understand., 101(1): 1–15. http://dx.doi.org/10.1016/j.cviu.2005.05.005

4. Brunelli, R., 1997. Estimation of pose and illuminant direction for face processing. Image Vis. Comput., 15(10): 741–748. http://dx.doi.org/10.1016/S0262-8856(97)00024-3

5. Cai, Y., Yang, M.L., Li, Z.Q., 2015. Robust head pose estimation using a 3D morphable model. Math. Prob. Eng., 2015:678973.1–678973.10. http://dx.doi.org/10.1155/2015/678973

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