Name
Abstract | ||
|---|---|---|
Recovery depth from a lenslet light field image can facilitate lots of applications including super-resolution and 3D reconstruction. However, current works mainly focus on the central sub-aperture image but pay little attention to full-viewpoint light field images. In this paper, we propose a deep learning-based method to recovery full-viewpoint depth by estimating the disparity map from the give... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IC-NIDC54101.2021.9660403 | 2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) |
Keywords | DocType | ISBN |
Learning systems,Deep learning,Three-dimensional displays,Costs,Conferences,Neural networks,Superresolution | Conference | 978-1-6654-0582-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fan Zhang | 1 | 0 | 0.34 |
| Xueming Li | 2 | 0 | 0.34 |
| Qiang Fu | 3 | 0 | 0.34 |