IPOL Journal · Image Processing On Line
- published
- 2013-10-28
- reference
- Javier Sánchez Pérez, Nelson Monzón López, and Agustín Salgado de la Nuez, Robust Optical Flow Estimation, Image Processing On Line, 3 (2013), pp. 252–270. https://doi.org/10.5201/ipol.2013.21
Communicated by Enric Meinhardt-Llopis
Demo edited by Enric Meinhardt-Llopis
Abstract
In this work, we describe an implementation of the variational method proposed by Brox etal. in 2004, which yields accurate optical flows with low running times. It has several benefitswith respect to the method of Horn and Schunck: it is more robust to the presence of outliers,produces piecewise-smooth flow fields and can cope with constant brightness changes. Thismethod relies on the brightness and gradient constancy assumptions, using the information ofthe image intensities and the image gradients to find correspondences. It also generalizes theuse of continuous L1 functionals, which help mitigate the effect of outliers and create a TotalVariation (TV) regularization. Additionally, it introduces a simple temporal regularizationscheme that enforces a continuous temporal coherence of the flow fields.
Download
- full text manuscript: PDF low-res. (861K) PDF (9.5M) [?]
- source code: TAR/GZ
Supplementary Materials
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
- the current version was published on 2013-11-06. The abstract has been shortened and part of its contents moved to the introduction. The number of pages has been reduced to 19 (20 in the original version).
- the original version was published on 2013-10-28: manuscript
- 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.
