An Intelligent Shadow Play System With Multi-dimensional Interactive Perception

Author:

Tang Zhichuan12,Hu Yidan1,Weng Weining3,Zhang Lekai1,Zhang Lingtao1,Ying Jichen1

Affiliation:

1. Zhejiang University of Technology, Hanzghou, China

2. Zhejiang University, Hangzhou, China

3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Funder

Philosophy and Social Science Planning Fund Project of Zhejiang Province

the Natural Science Foundation of Zhejiang Province

the Key Research and Development Program of Zhejiang Province

the Fundamental Research Funds for the Provincial Universities of Zhejiang

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics

Reference40 articles.

1. Andriluka, M., Pishchulin, L., Gehler, P. & Schiele, B. (2014). 2D Human pose estimation: New benchmark and state of the art analysis. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 3686–3693). IEEE. https://doi.org/10.1109/CVPR.2014.471

2. Bahdanau, D., Cho, K. & Bengio, Y. (2016). Neural machine translation by jointly learning to align and translate. arXiv preprint ArXiv:1409.0473. http://arxiv.org/abs/1409.0473

3. Bai, Z., Blackwell, A. F. & Coulouris, G. (2015). Exploring expressive augmented reality: The FingAR puppet system for social pretend play. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 1035–1044). ACM. https://doi.org/10.1145/2702123.2702250

4. Chen, X. & Yuille, A. (2014). Articulated pose estimation by a graphical model with image dependent pairwise relations. Advances in Neural Information Processing Systems, 27, 1–9. http://arxiv.org/abs/1407.3399

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