1. Directionally Weakened Diffusion for Optical Flow
- Author
-
Yuan Quan Wang, Jie Zhao, and Huai Bin Wang
- Subjects
Smoothness (probability theory) ,Horn–Schunck method ,Mathematical analysis ,General Engineering ,Optical flow ,Geometry ,Classification of discontinuities ,Diffusion (business) ,Laplace operator ,Energy (signal processing) ,Term (time) ,Mathematics - Abstract
Optical flow estimation from image sequences is of paramount importance to computer vision applications. Many optical flow algorithms have been proposed for optical flow computation, which minimize a certain energy function involving a data term and a smoothness term. In this paper, we propose a new method to compute optical flow by decomposing the Laplacian operator along the tangential and gradient direction of the image. Experimental results show that the new method could gain more accurate estimation of optical flow around motion discontinuities compared with the classical methods.
- Published
- 2011