PCA-Flow: Fast, approximate optical flow computation
2015-06-01
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 |
| Department(s): |
Perceiving Systems |
| Publication(s): |
Efficient Sparse-to-Dense Optical Flow Estimation using a Learned Basis and Layers
|
| Authors: | Jonas Wulff and Michael J. Black |
| Release Date: | 2015-06-01 |
| External Link: | https://github.com/jswulff/pcaflow |
