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.
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IPOL - Image Processing On Line - http://ipol.im/
contact [email protected] - http://www.ipol.im/meta/contact/
news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/
announces [email protected] - http://tools.ipol.im/mm/announce/
discussions [email protected] - http://tools.ipol.im/mm/discuss/
