Name
Abstract | ||
|---|---|---|
Hole filling is one of the key issues in generating virtual view from video-plus-depth sequence by depth-image-based rendering. Hole filling method based on Markov random fields (MRF) is a practical way for view synthesis, but the traditional ones might introduce some foreground textures to the hole regions, and suffer from high computational complexity. In this letter, a fast MRF-based hole filli... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2017.2720182 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Visualization,Belief propagation,Hemorrhaging,Rendering (computer graphics),Markov processes,Computational complexity,Optimization | Random field,Markov process,Pattern recognition,Markov chain,View synthesis,Artificial intelligence,Rendering (computer graphics),Mathematics,Energy minimization,Belief propagation,Computational complexity theory | Journal |
Volume | Issue | ISSN |
25 | 1 | 1070-9908 |
Citations | PageRank | References |
1 | 0.35 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luo Guibo | 1 | 15 | 6.04 |
| Zhu Yuesheng | 2 | 112 | 39.21 |
| Biao Guo | 3 | 7 | 1.47 |