[IPOL announce] new article: A Line Search Multilevel Truncated Newton Algorithm for Computing the Optical Flow

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2015/112/

Lluís Garrido, and El Mostafa Kalmoun,
A Line Search Multilevel Truncated Newton Algorithm for Computing the 
Optical Flow,
Image Processing On Line, 5 (2015), pp. 124–138.
http://dx.doi.org/10.5201/ipol.2015.112

Abstract
We describe the implementation details and give the experimental results 
of three optimization algorithms for dense optical flow computation. In 
particular, using a line search strategy, we evaluate the performance of 
the unilevel truncated Newton method (LSTN), a multiresolution truncated 
Newton (MR/LSTN) and a full multigrid truncated Newton (FMG/LSTN). We 
use three image sequences and four models of optical flow for 
performance evaluation. The FMG/LSTN algorithm is shown to lead to 
better optical flow estimation with less computational work than both 
the LSTN and MR/LSTN algorithms.