A scaled multigrid optical flow algorithm based on the least RMS error between real and estimated second images

摘要

For continuous and uniform motions we have devised a scaled multigrid algorithm in which the initial flow for a level is calculated by the summation of the optimally scaled flow and the error flow. The optimally scaled flow is the scaled expanded flow of the previous level, which can generate an estimated second image having the least RMS error with respect to the original second image, and the error flow is the flow between the estimated second image (generated by the optimally scaled flow) and the original second image. The flow for this level is then estimated using the original first and second images and the initial flow for that level. From among the various coarsest starting levels of the multigrid algorithm, we select the one that finally gives the best-estimated flow.