Abstract
We present a single-image algorithm for reconstructing the 3D velocity, the 3D spin axis, and the angular speed of a moving ball. Peculiarity of the proposed algorithm is that this reconstruction is achieved by accurately analyzing the blur produced by the ball motion during the exposure. We combine image analysis techniques in order to obtain 3D estimates, that are then integrated into a geometrical model for recovering the 3D motion.
The algorithm is validated with experiments on both synthetic and camera images. In a broader scenario, we exploit this specic problem for discussing motivations, advantages, and limitations of reconstructing 3D motion from motion blur.
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Boracchi, G., Caglioti, V., Giusti, A. (2009). Estimation of 3D Instantaneous Motion of a Ball from a Single Motion-Blurred Image. In: Ranchordas, A., Araújo, H.J., Pereira, J.M., Braz, J. (eds) Computer Vision and Computer Graphics. Theory and Applications. VISIGRAPP 2008. Communications in Computer and Information Science, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10226-4_18
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DOI: https://doi.org/10.1007/978-3-642-10226-4_18
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