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Estimation of 3D Instantaneous Motion of a Ball from a Single Motion-Blurred Image

  • Giacomo Boracchi
  • Vincenzo Caglioti
  • Alessandro Giusti
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 24)

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.

Keywords

Point Spread Function Angular Speed Motion Blur Ball Motion Orientation Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Giacomo Boracchi
    • 1
  • Vincenzo Caglioti
    • 1
  • Alessandro Giusti
    • 1
  1. 1.Dipartimento di Elettronica e InformazionePolitecnico di MilanoMilano

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