Name
Abstract | ||
|---|---|---|
•Generalized fusion moves allow more powerful move-making steps for optimization.•Builds on a convex relaxation framework for piecewise convex minimization problems.•Applies to dense correspondence problems with additional latent variables such as illumination changes between images. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cviu.2018.04.005 | Computer Vision and Image Understanding |
Keywords | DocType | Volume |
Energy minimization,Markov random fields,Convex relaxations,Low-level vision | Journal | 173 |
Issue | ISSN | Citations |
1 | 1077-3142 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher Zach | 1 | 1457 | 84.01 |