[IPOL announce] new article: An Analysis and Speedup of the FALDOI Method for Optical Flow Estimation

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2019/238/


Ferran P. Gamonal, Coloma Ballester, Gloria Haro, Enric 
Meinhardt-Llopis, and Roberto P. Palomares,
An Analysis and Speedup of the FALDOI Method for Optical Flow Estimation,
Image Processing On Line, 9 (2019), pp. 94–123.
https://doi.org/10.5201/ipol.2019.238

Abstract
We present a detailed analysis of FALDOI, a large displacement optical 
flow method proposed by P.Palomares et al. This method requires a set of 
discrete matches, which can be extremely sparse, and an energy 
functional which locally guides the interpolation from the matches. It 
follows a two-step minimization method at the finest scale which is very 
robust to the outliers of the sparse matcher and can capture large 
displacements of small objects. The results shown in the original paper 
consistently outperformed the coarse-to-fine approaches and achieved 
good qualitative and quantitative performance on the standard optical 
flow benchmarks. In this paper we revise the proposed method and the 
changes done to significantly reduce its execution time while reporting 
nearly the same accuracy. Finally, we also compare it against the 
current state-of-the-art to assess its performance.