Name
Abstract | ||
|---|---|---|
The quality of every dynamic multi-projection mapping system is limited by the quality of the projector to tracking device calibration. Common problems with poor calibration result in noticeable artifacts for the user, such as ghosting and seams. In this work we introduce a new, fully automated calibration algorithm that is tailored to reduce these artifacts, based on consumer-grade hardware. We a... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVCG.2018.2868530 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Cameras,Calibration,Target tracking,Three-dimensional displays,Distortion,Heuristic algorithms,Geometry | Computer vision,Projection mapping,Computer science,Tracking system,Projector,Scanner,RGB color model,Artificial intelligence,Distortion,Calibration,Ghosting | Journal |
Volume | Issue | ISSN |
24 | 11 | 1077-2626 |
Citations | PageRank | References |
2 | 0.37 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Philipp Kurth | 1 | 2 | 0.71 |
| Vanessa Lange | 2 | 11 | 3.28 |
| Christian Siegl | 3 | 99 | 12.47 |
| Marc Stamminger | 4 | 1465 | 112.74 |
| Frank Bauer | 5 | 84 | 8.56 |