This software package contains two algorithms for the computation of optical flow, as described in Wulff & Black, "Efficient Sparse-to-Dense Optical Flow Estimation using a Learned Basis and Layers" (CVPR 2015). PCA-Flow computes approximate optical flow extremely quickly, by making the assumption that optical flow lies on a low-dimensional subspace. PCA-Layers extends this to a layered model to increase accuracy, especially at boundaries. It is the most accurate layered model on the MPI Sintel dataset.
|Author(s):||Jonas Wulff and Michael J. Black|
Efficient Sparse-to-Dense Optical Flow Estimation using a Learned Basis and Layers
|Authors:||Jonas Wulff and Michael J. Black|