Name
Abstract | ||
|---|---|---|
Commercial RGB-D sensors such as Kinect and Structure Sensors have been widely used in the game industry, where geometric fidelity is not of utmost importance. For applications in which high quality 3D is required, i.e., 3D building models of centimeter-level accuracy, accurate and reliable calibrations of these sensors are required. This paper presents a new model for calibrating the depth measurements of RGB-D sensors based on the structured light concept. Additionally, a new automatic method is proposed for the calibration of all RGB-D parameters, including internal calibration parameters for all cameras, the baseline between the infrared and RGB cameras, and the depth error model. When compared with traditional calibration methods, this new model shows a significant improvement in depth precision for both near and far ranges. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/s17061204 | SENSORS |
Keywords | Field | DocType |
RGB-D sensors,depth calibration,structure sensor,structured light concept | Computer vision,Fidelity,Structured light,Game industry,RGB color model,Artificial intelligence,Engineering,Calibration | Journal |
Volume | Issue | Citations |
17 | 6.0 | 10 |
PageRank | References | Authors |
0.67 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Walid Darwish | 1 | 17 | 1.55 |
| Shenjun Tang | 2 | 10 | 0.67 |
| Wenbin Li | 3 | 294 | 38.79 |
| Wu Chen | 4 | 59 | 19.58 |