[IPOL announce] new article: Comparison of Optical Flow Methods under Stereomatching with Short Baselines

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2019/217/

Tristan Dagobert, Nelson Monzón, and Javier Sánchez,
Comparison of Optical Flow Methods under Stereomatching with Short 
Baselines,
Image Processing On Line, 9 (2019), pp. 329–359.
https://doi.org/10.5201/ipol.2019.217

Abstract

This article studies the effectiveness of optical flow methods applied 
to short baseline image pairs under different noise levels. New metrics 
have been developed to analyze the results because the usual metrics are 
inadequate in a subpixel context. We have used the implementation of 
some standard optical flow methods adapted to the stereo problem. Our 
experiments show that the Brox et al. method produces the least errors, 
with a 60% success rate and a relative precision at 1/100th of a pixel. 
On the other hand, our comparison shows that a discontinuity preserving 
method, derived from Brox et al., also provides competitive results at 
the same time that it yields disparities with more details and correct 
contours.