Optical Flow Estimation Based on Curvelet Transform and Spatio-temporal Derivatives


AbstractOptical flow estimation is still one of the key problems in computer vision.When estimating the displacement field between two images, it is applied as soonas correspondences between pixels are needed. The choice of the transform is animportant tool in optical flow estimation. So in this paper curvelet transform isproposed to estimate the optical flow. it is found that the proposed algorithm ismuch better than most recently previous work based on multiwavelet. This isbecause curvelet transform can be efficient in finding estimates along curves.