Name
Abstract | ||
|---|---|---|
Calibrating multiple depth cameras to a common coordinate space can be a laborious and time-consuming task, and often relies on expensive motion capture tracking systems. However, if accuracy constraints can be relaxed then a consumer-grade virtual reality tracking system is sufficient to support the calibration process. In this paper, we present a fast and convenient camera calibration method aimed at such systems. The calibration process can be carried out in about ten minutes and the resulting calibration is sufficiently accurate to achieve spatial coherence when targeting reconstructions on an 8mm grid over a approximate to 2.2m(3) capture volume. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/VR.2019.8798073 | 2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR) |
Keywords | Field | DocType |
Computer Vision, Virtual Reality, Mixed Reality, 3D Reconstruction | Computer vision,Motion capture,Virtual reality,Computer science,Tracking system,Coordinate space,Camera resectioning,Artificial intelligence,Mixed reality,Calibration,3D reconstruction | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stuart Duncan | 1 | 0 | 0.68 |
| Holger Regenbrecht | 2 | 674 | 61.24 |
| Tobias Langlotz | 3 | 399 | 36.80 |