Name
Abstract | ||
|---|---|---|
Dense and accurate 3-D mapping from a monocular sequence is a key technology for several applications and still an open research area. This letter leverages recent results on single-view convolutional network (CNN)-based depth estimation and fuses them with multiview depth estimation. Both approaches present complementary strengths. Multiview depth is highly accurate but only in high-texture areas... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LRA.2017.2715400 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Estimation,Image reconstruction,Fuses,Proposals,Training,Three-dimensional displays,Periodic structures | Open research,Pattern recognition,Computer science,Fusion,Image content,Local structure,Coherence (physics),Artificial intelligence,Fuse (electrical),Monocular | Journal |
Volume | Issue | ISSN |
2 | 4 | 2377-3766 |
Citations | PageRank | References |
3 | 0.38 | 24 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José M. Fácil | 1 | 29 | 1.90 |
| Alejo Concha | 2 | 37 | 3.46 |
| L. Montesano | 3 | 653 | 42.58 |
| Javier Civera | 4 | 756 | 48.61 |