Name
Abstract | ||
|---|---|---|
We evaluate the performance of different optimization techniques developed in the context of optical flow computation with different variational models. In particular, based on truncated Newton (TN) methods that have been an effective approach for large-scale unconstrained optimization, we develop the use of efficient multilevel schemes for computing the optical flow. More precisely, we compare the performance of a standard unidirectional multilevel algorithm—called multiresolution optimization (MR/Opt)—with that of a bidirectional multilevel algorithm—called full multigrid optimization (FMG/Opt). The FMG/Opt algorithm treats the coarse grid correction as an optimization search direction and eventually scales it using a line search. Experimental results on three image sequences using four models of optical flow with different computational efforts show that the FMG/Opt algorithm outperforms both the TN and MR/Opt algorithms in terms of the computational work and the quality of the optical flow estimation. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1137/100807405 | SIAM J. Imaging Sciences |
Keywords | Field | DocType |
bidirectional multilevel algorithm,optimization search direction,optical flow estimation,multiresolution optimization,full multigrid optimization,optical flow computation,large-scale unconstrained optimization,different optimization technique,dense optical flow,standard unidirectional multilevel algorithm,optical flow,computational methods,line search multilevel optimization | Mathematical optimization,Computer science,Algorithm,Line search,Optical flow estimation,Optical flow computation,Optical flow,Grid,Multigrid method,Multilevel optimization | Journal |
Volume | Issue | ISSN |
4 | 2 | 1936-4954 |
Citations | PageRank | References |
5 | 0.42 | 31 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| El Mostafa Kalmoun | 1 | 20 | 2.87 |
| Luis Garrido | 2 | 535 | 28.51 |
| Caselles, V. | 3 | 3893 | 421.11 |