Name
Abstract | ||
|---|---|---|
Marker-based optical tracking systems (OTS) are widely used in clinical image-guided therapy. However, the emergence of ghost markers, which is caused by the mistaken recognition of markers and the incorrect correspondences between marker projections, may lead to tracking failures for these systems. Therefore, this paper proposes a strategy to prevent the emergence of ghost markers by identifying markers based on the features of their projections, finding the correspondences between marker projections based on the geometric information provided by markers, and fast-tracking markers in a 2D image between frames based on the sizes of their projections. Apart from validating its high robustness, the experimental results show that the proposed strategy can accurately recognize markers, correctly identify their correspondences, and meet the requirements of real-time tracking. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s10916-019-1257-x | Journal of Medical Systems |
Keywords | Field | DocType |
Optical tracking system, Marker recognition, Accurate stereo-matching, Ghost-markers elimination, Fast-tracking | Data mining,Computer vision,Retroreflector,Robustness (computer science),Optical tracking,Artificial intelligence,Medicine | Journal |
Volume | Issue | ISSN |
43 | 6 | 0148-5598 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| han wu | 1 | 62 | 10.14 |
| Qinyong Lin | 2 | 1 | 1.73 |
| Rongqian Yang | 3 | 4 | 4.55 |
| Yuan Zhou | 4 | 22 | 14.66 |
| Lingxiang Zheng | 5 | 0 | 0.34 |
| Yueshan Huang | 6 | 0 | 0.68 |
| Zhigang Wang | 7 | 132 | 13.23 |
| Yonghua Lao | 8 | 0 | 1.69 |
| Jinhua Huang | 9 | 0 | 0.68 |