Name
Title | ||
|---|---|---|
Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion. |
Abstract | ||
|---|---|---|
To be effective, robots will need to reliably operate in scenes with refractive objects in a variety of applications; however, refractive objects can cause many robotic vision algorithms, such as structure from motion, to become unreliable or even fail. We propose a novel method to distinguish between refracted and Lambertian image features using a light field camera. While previous refracted feat... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LRA.2018.2884765 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Cameras,Robot vision systems,Radio frequency,Geometry,Reliability,Distortion | Cross-correlation,Structure from motion,Reprojection error,Computer vision,Control theory,Feature (computer vision),Light-field camera,Refraction,Computational photography,Light field,Artificial intelligence,Engineering | Journal |
Volume | Issue | ISSN |
4 | 2 | 2377-3766 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dorian Tsai | 1 | 2 | 2.42 |
| Donald G. Dansereau | 2 | 233 | 16.37 |
| Thierry Peynot | 3 | 107 | 14.82 |
| Peter I. Corke | 4 | 2495 | 234.29 |