Head Pose Classification Based on Deep Convolution Networks
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-76736-5_42
Reference21 articles.
1. Geng, X., Xia, Y.: Head pose estimation based on multivariate label distribution. In: 2014 IEEE Conference on Computer Vision & Pattern Recognition, pp. 1837–1842. IEEE Press (2014)
2. Wu, S., Liang, J., Ho, J.: Head pose estimation and its application in TV viewers’ behavior analysis. In: 2016 IEEE Canadian Conference on Electrical & Computer Engineering, pp. 1–6. IEEE Press (2016)
3. Zhang, K., Zhang, Z., Li, Z., Qiao, Y.: Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process. Lett. 23(10), 1499–1503 (2016)
4. Yan, Y., Ricci, E., Subramanian, R., Liu, G., Lanz, O., Sebe, N.: A multi-task learning framework for head pose estimation under target motion. IEEE Tran. Pattern Anal. Mach. Intell. 38(6), 1070–1083 (2016)
5. Saeed, A., Al-Hamadi, A., Ghoneim, A.: Head pose estimation on top of Haar-like face detection: a study using the Kinect sensor. Sensors 15(9), 20945–20966 (2015)
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