Inverse composite alignment of a sphere under orthogonal projection for ball spin estimation (情報論的学習理論と機械学習)

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概要

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• In this technical report, we propose a method for measuring the spin of a table tennis ball in the framework of Inverse Composite Alignment (ICA). We assume that the projection of the ball onto the image plane is orthographic, and the shape of the ball is a rigid sphere. Under these assumptions we derive an update rule for the motion parameters. Because of the precomputation of the Hessian matrix in ICA and the simplifying assumptions, the motion parameters estimation at each frame is very fast. We show experimental results obtained by our prototype system for measuring spins in real image sequences of table tennis rallies.

• 社団法人電子情報通信学会の論文
• 2011-08-29

著者

• USHIYAMA Yukihiko

  Niigata University

• TAMAKI Toru

  Hiroshima University

• Raytchev Bisser

  Hiroshima University

• Kaneda Kazufumi

  Hiroshima University

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