Name
Abstract | ||
|---|---|---|
We describe a method for calibrating an electromagnetic motion tracking device. Algorithms for correcting both location and orientation data are presented. In particular, we use a method for interpolating rotation corrections that has not previously been used in this context. This method, unlike previous methods, is rooted in the geometry of the space of rotations. This interpolation method is used in conjunction with Delaunay tetrahedralization to enable correction based on scattered data samples. We present measurements that support the assumption that neither location nor orientation errors are dependent on sensor orientation. We give results showing large improvements in both location and orientation errors. The methods are shown to impose a minimal computational burden. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1162/pres.16.4.352 | Presence |
Keywords | Field | DocType |
electromagnetic motion tracking,delaunay tetrahedralization,large improvement,interpolation method,previous method,orientation data,orientation errors,minimal computational burden,orientation error,scattered data sample,electromagnetic motion tracking device,sensor orientation,motion tracking | Computer vision,Virtual reality,Immersive visualization,Computer science,Interpolation,Barycentric coordinates,Artificial intelligence,Calibration,Match moving,Delaunay triangulation | Journal |
Volume | Issue | ISSN |
16 | 4 | 1054-7460 |
Citations | PageRank | References |
4 | 0.96 | 16 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John G. Hagedorn | 1 | 70 | 7.77 |
| Steven G. Satterfield | 2 | 88 | 39.09 |
| John T. Kelso | 3 | 4 | 0.96 |
| Whitney Austin | 4 | 4 | 0.96 |
| Judith E. Terrill | 5 | 70 | 9.12 |
| Adele P. Peskin | 6 | 33 | 6.79 |