A Combined Local-Global Match for Optical Flow

Optical flow estimation is still an open question in computer vision. Matching is the initialization of the final optical flow results. A good matching is important for the flow. In this paper, a combined local-global matching method is proposed. The local matching method and the global method are integrated together to make a trade-off between the large displacement and local consistency of optical flow. Extensive experiments on state-of-art challenging datasets MPI-Sintel show that the proposed method is efficient and effective.