Optical Flow Estimation Based on Curvelet Transform and Spatio-temporal Derivatives
Engineering and Technology Journal,
2010, Volume 28, Issue 13, Pages 2666-2276
Optical flow estimation is still one of the key problems in computer vision.
When estimating the displacement field between two images, it is applied as soon
as correspondences between pixels are needed. The choice of the transform is an
important tool in optical flow estimation. So in this paper curvelet transform is
proposed to estimate the optical flow. it is found that the proposed algorithm is
much better than most recently previous work based on multiwavelet. This is
because curvelet transform can be efficient in finding estimates along curves.
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