Abstract
Monocular 3D reconstruction is an important problem. We solve the problem of reconstructing a 3D ball or shuttle position from a single-view television video. The contextual constraint is vital in this paper, which is implemented by a confirming point. The confirming point represents all the contextual cues, such as human pose, stroke technique, and shadow on the ground. The confirming point also tells us where the 3D point is. The confirming point decision is made by a human operator. Thus, the proposed method is a mixture of computer vision and human intelligence. Moreover, we propose a new air-ball friction model. This model provides a more accurate result because the aerodynamic drag force cannot be ignored in ball game.
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Acknowledgement
This work was supported by Technology Research and Development Program of Sichuan Province of China (2015JY0148).
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Shen, L., Liu, Q., Li, L., Ren, Y. (2018). Reconstruction of 3D Ball/Shuttle Position by Two Image Points from a Single View. In: Lames, M., Saupe, D., Wiemeyer, J. (eds) Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017). IACSS 2017. Advances in Intelligent Systems and Computing, vol 663. Springer, Cham. https://doi.org/10.1007/978-3-319-67846-7_9
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DOI: https://doi.org/10.1007/978-3-319-67846-7_9
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