Abstract
Pose estimation is one of key issues in face recognition in complex background and human-computer interaction. In this paper, we propose a novel algorithm to estimating facial pose using deep learning. We design a convolutional neural network with four convolutional layers, and a fully-connected layer. The experimental results on CMU-PIE database show that the proposed method outperforms previous traditional methods facial pose.
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References
Zhu, X., Ramanan, D.: Face detection, pose estimation, and landmark localization in the wild. In: CVPR, pp. 2879–2886 (2012)
Younesi, A., Kalbkhani, H., Shayesteh, G.: Robust head pose estimation using locations of facial components. In: Proc. of 16th CSI IEEE Intl Symposium on Artificial Intelligence and Signal Processing, pp. 1–5 (2012)
Jiang, M., Deng, L., Zhang, L., Tang, J., Fan,C.: Head pose estimation based on active shape model. In: Proc. of 2012 IEEE Int’l Conf. on Systems, Man and Cybernetics, pp. 1–4 (2012)
Raytchev, B., Yoda, I., Sakaue, K.: Head pose estimation by nonlinear manifold learning. In: Proc. of 2004 IEEE 17th Int’l Conf. on Pattern Recognition, pp. 462–466 (2004)
Dahmane, A., Larabi, S., Djeraba .C., Bilasco, I. M.: Learning symmetrical model for head pose estimation. In: Proc. of 21 th Int. Conf. on Pattern Recognition, pp. 1–4 (2012)
Zhu, X., Ramanan, D.: Face detection, pose estimation, and landmark localization in the wild. In: CVPR, pp. 2879–2886 (2012)
Wang, J.G., Sung, E.: Em enhancement of 3d head pose estimated by point at infinity. Image and Vision Computing 25(12), 1864–1874 (2007)
Meydanipour, G., Faez, K.: Head pose estimation using histogram of SIFT descriptors. In: 2014 22nd Iranian Conference on Electrical Engineering (ICEE), pp. 976–979. IEEE (2014)
Meydanipour, G., Faez, K.: Robust head pose estimation using contourletSD transform and GLCM. In: 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP), pp. 375–380. IEEE (2013)
Liu, X., Lu, H., Luo, H.: A new representation method of head images for head pose estimation. In: Proc. of 2009 IEEE 16th Int’l Conf. on Image Processing (ICIP), pp. 3585–3588 (2009)
Xin, G., Yu, X.: Head pose estimation based on multivariate label distribution. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1837–1842. IEEE (2014)
Krizhevsky, A., Sutskever, I., Hinton, G.: Imagenet classification with deep convolutional neural networks. In: Proc. NIPS (2012)
Sim, T., Baker, S., Bsat, M.: The CMU pose, illumination, and expression database. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 25(12), 1615–1618 (2003)
Hu, C., Gong, L., Wang, T.: Effective head pose estimation using Lie Algebrized Gaussians. In: 2013 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6. IEEE (2013)
Ba, S.O., Odobez, J.M.: A probabilistic framework for joint head tracking and pose estimation. In: IEEE International Conference on Pattern Recognition, ICPR (2004)
Brown, L.M., Tian, Y.-L.: Comparative study of coarse head pose estimation. In: IEEE Workshop on Motion and Video Computing, pp. 125–130 (2002)
Tian, Y.-L., Brown, L., Connell, J., Pankanti, S., Hampapur, A., Senior, A., Bolle, R.: Absolute head pose estimation from overhead wide-angle cameras. In: Proc. IEEE Int’l Workshop Analysis and Modeling of Faces and Gestures, pp. 92–99 (2003)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2001, vol. 1, pp. I-511–I-518 (2001)
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xu, X., Wu, L., Wang, K., Ma, Y., Qi, W. (2015). A Facial Pose Estimation Algorithm Using Deep Learning. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_78
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DOI: https://doi.org/10.1007/978-3-319-25417-3_78
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