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Voting Method for Stable Range Optical Flow Computation

  • Atsushi Imiya
  • Daisuke Yamada
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4319)

Abstract

For the non-invasive imaging of moving organs, in this paper, we develop statistically accurate methods for the computation of optical flow. We formalise the linear flow field detection as a model-fitting problem which is solved by the least squares method. Then, we show random-ssampling-and-voting method for the computation of optical flow as model-fitting problem. We show some numerical examples which shows the performance of our method.

Keywords

Optical Flow Spatial Gradient Structure Tensor Range Image Angle Error 
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 2006

Authors and Affiliations

  • Atsushi Imiya
    • 1
  • Daisuke Yamada
    • 2
  1. 1.Insutitute of Media and Information TechnologyChiba UniversityJapan
  2. 2.School of Science and TechnologyChiba UniversityJapan

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