IPOL Journal · Image Processing On Line
- published
- 2013-07-19
- reference
- Javier Sánchez Pérez, Enric Meinhardt-Llopis, and Gabriele Facciolo, TV-L1 Optical Flow Estimation, Image Processing On Line, 3 (2013), pp. 137–150. https://doi.org/10.5201/ipol.2013.26
Communicated by Luis Álvarez
Demo edited by Enric Meinhardt-Llopis
Abstract
This article describes an implementation of the optical flow estimation method introduced by Zach, Pock and Bischof in 2007. This method is based on the minimization of a functional containing a data term using the L1 norm and a regularization term using the total variation of the flow. The main feature of this formulation is that it allows discontinuities in the flow field, while being more robust to noise than the classical approach of Horn and Schunck. The algorithm is an efficient numerical scheme, which solves a relaxed version of the problem by alternate minimization.
Download
- full text manuscript: PDF low-res. (865K) PDF (8.2M) [?]
- source code: TAR/GZ
Non-Reviewed Supplementary Materials
These files and information are provided by the authors and have not been reviewed.
- demo post-processing scripts: TAR/GZ
History
- Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.
