Name
Title | ||
|---|---|---|
Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation |
Abstract | ||
|---|---|---|
Monocular depth estimation remains a challenging problem, despite significant advances in neural network architectures that leverage pictorial depth cues alone. Inspired by depth from defocus and emerging point spread function engineering approaches that optimize programmable optics end-to-end with depth estimation networks, we propose a new and improved framework for depth estimation from a singl... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCP51581.2021.9466261 | 2021 IEEE International Conference on Computational Photography (ICCP) |
Keywords | DocType | ISSN |
Computational Photography,Computational Optics | Conference | 2164-9774 |
ISBN | Citations | PageRank |
978-1-6654-1952-9 | 2 | 0.36 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hayato Ikoma | 1 | 4 | 1.39 |
| Cindy M. Nguyen | 2 | 2 | 0.36 |
| Christopher A. Metzler | 3 | 2 | 0.36 |
| Yifan Peng | 4 | 41 | 7.51 |
| Gordon Wetzstein | 5 | 945 | 72.47 |