Performance of optical flow techniques

作者:J. L. Barron, D. J. Fleet, S. S. Beauchemin

摘要

While different optical flow techniques continue to appear, there has been a lack of quantitative evaluation of existing methods. For a common set of real and synthetic image sequences, we report the results of a number of regularly cited optical flow techniques, including instances of differential, matching, energy-based, and phase-based methods. Our comparisons are primarily empirical, and concentrate on the accuracy, reliability, and density of the velocity measurements; they show that performance can differ significantly among the techniques we implemented.

论文关键词:Image Processing, Artificial Intelligence, Computer Vision, Computer Image, Quantitative Evaluation

论文评审过程:

论文官网地址:https://doi.org/10.1007/BF01420984