Name
Abstract | ||
|---|---|---|
We consider the problem of localizing a novel image in a large 3D model, given that the gravitational vector is known. In principle, this is just an instance of camera pose estimation, but the scale of the problem introduces some interesting challenges. Most importantly, it makes the correspondence problem very difficult so there will often be a significant number of outliers to handle. To tackle ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TPAMI.2016.2598331 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Cameras,Three-dimensional displays,Solid modeling,Robustness,Pose estimation,Computational modeling | Computer vision,Polynomial,Vertical direction,Computer science,Outlier,3D pose estimation,Pose,Robustness (computer science),Artificial intelligence,Solid modeling,Correspondence problem | Journal |
Volume | Issue | ISSN |
39 | 7 | 0162-8828 |
Citations | PageRank | References |
22 | 0.69 | 28 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linus Svärm | 1 | 52 | 3.42 |
| Olof Enqvist | 2 | 236 | 13.63 |
| Fredrik Kahl | 3 | 1415 | 92.61 |
| Magnus Oskarsson | 4 | 196 | 22.85 |