Optical flow and total least squares solution for multi-scale data in an over-determined system

  • Authors:
  • Homa Fashandi;Reza Fazel-Rezai;Stephen Pistorius

  • Affiliations:
  • Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada;Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada;Departments of Radiology & Physics and Astronomy, University of Manitoba, Winnipeg, MB, Canada and Medical Physics, CancerCare Manitoba, Winnipeg, MB, Canada

  • Venue:
  • ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
  • Year:
  • 2007

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Abstract

In this paper, we introduce a new technique to estimate optical flow fields based on wavelet decomposition. In order to block error propagation between layers of multi-resolution image pyramid, we consider information of the all pyramid levels at once. We add a homogenous smoothness constraint to the system of optical flow constraints to obtain smooth motion fields. Since there are approximations on both sides of our over determined equation system, a total least square method is used as a minimization technique. The method was tested on several standard sequences in the field and megavoltage images taken by linear accelerator devices and showed promising results.