[1] Alioua N, Amine A, Rogozan A et al. Driver head pose estimation using efficient descriptor fusion[J]. EURASIP Journal on Image and Video Processing, 2016, 2(2016). http://link.springer.com/10.1186/s13640-016-0103-z

[2] Ahn B, Choi D G, Park J et al. Real-time head pose estimation using multi-task deep neural network[J]. Robotics and Autonomous Systems, 103, 1-12(2018). http://www.sciencedirect.com/science/article/pii/S0921889017303524

[3] Murphy-Chutorian E, Trivedi M M. Head pose estimation in computer vision: a survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, 607-626(2009). http://www.ncbi.nlm.nih.gov/pubmed/19229078

[4] Zhu X X, Ramanan D. Face detection, pose estimation, and landmark localization in the wild. [C]∥2012 IEEE Conference on Computer Vision and Pattern Recognition, June 16-21, 2012, Providence, RI, USA. New York: IEEE, 2879-2886(2012).

[5] Derkach D, Ruiz A, Sukno F M. Head pose estimation based on 3-D facial landmarks localization and regression. [C]∥2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), May 30-June 3, 2017, Washington D. C., USA. New York: IEEE, 820-827(2017).

[6] Padeleris P, Zabulis X, Argyros A A. Head pose estimation on depth data based on particle swarm optimization. [C]∥2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, June 16-21, 2012, Providence, RI, USA. New York: IEEE, 42-49(2012).

[7] Geng X, Xia Y. Head pose estimation based on multivariate label distribution. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 1837-1842(2014).

[8] Huang C, Ding X Q, Fang C. Head pose estimation based on random forests for multiclass classification. [C]∥2010 20th International Conference on Pattern Recognition, August 23-26, 2010, Istanbul, Turkey. New York: IEEE, 934-937(2010).

[9] Drouard V, Horaud R, Deleforge A et al. Robust head-pose estimation based on partially-latent mixture of linear regressions[J]. IEEE Transactions on Image Processing, 26, 1428-1440(2017). http://www.ncbi.nlm.nih.gov/pubmed/28103555

[10] Xia J, Pei D, Wang Q Z et al. Face recognition based on local adaptive ternary derivative pattern coupled with Gabor feature[J]. Laser & Optoelectronics Progress, 53, 111004(2016).

[11] Tang Y Q, Sun Z N, Tan T N. A survey on head pose estimation[J]. Pattern Recognition and Artificial Intelligence, 27, 213-225(2014).

[12] Sang G L, Chen H, Zhao Q J. Robust head pose estimation based on deep convolution neural networks[J]. Journal of Sichuan University (Engineering Science Edition), 48, 163-169(2016).

[13] LeCun Y, Boser B, Denker J S et al. Handwritten digit recognition with a back-propagation network[M]. ∥Touretzky D S. Advances in neural information processing systems 2. San Francisco: Morgan Kaufmann Publishers Inc., 396-404(1990).

[14] Ian G, Yoshua B, Aaron C[M]. Deep learning, 203-204(2016).

[15] Ma Y J, Li X Y, Song X F. Traffic sign recognition based on improved deep convolution neural network[J]. Laser & Optoelectronics Progress, 55, 121009(2018).

[16] Fei Y J, Shao F. Contrast adjustment based on image retrieval[J]. Laser & Optoelectronics Progress, 55, 051002(2018).

[17] Li H X, Lin Z, Shen X H et al. A convolutional neural network cascade for face detection. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition, June 7-12, 2015, Boston, MA, USA. New York: IEEE, 5325-5334(2015).

[18] Viola P, Jones M. Fast and robust classification using asymmetric adaboost and a detector cascade[C]∥, 1311-1318(2002).

[19] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 7298594(2015).

[20] Ioffe S, Szegedy C. Batch normalization: accelerating deep network training by reducing internal covariate shift. [C]∥Proceedings of the 32nd International Conference on International Conference on Machine Learning, July 6-11, 2015, Lille, France. Massachusetts: JMLR. org, 37, 448-456(2015).

[21] Lin M, Chen Q. -03-04)[2018-11-25]. https:∥arxiv., org/abs/1312, 4400(2014).

[22] Kingma D P. -01-30)[2018-11-25]. https:∥arxiv., org/abs/1412, 6980(2017).

[23] Huang C, Ding X Q, Fang C. Head pose estimation based on random forests for multiclass classification. [C]∥2010 20th International Conference on Pattern Recognition, August 23-26, 2010, Istanbul, Turkey. New York: IEEE, 934-937(2010).

[24] Min Q S, Liu N, Chen Y T et al. Head pose estimation based on facial feature point localization[J]. Computer Engineering, 44, 263-269(2018).