Name
Abstract | ||
|---|---|---|
We propose a method for accurately tracking the spatial motion of standard laparoscopic instruments from video. By exploiting the geometric and photometric invariants common to standard FLS training boxes, the method provides robust and accurate tracking of instruments from video. The proposed method requires no modifications to the standard FLS training box, camera or instruments. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.3233/978-1-60750-706-2-11 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Laparoscopic Surgery,Surgery Training,Machine Vision | Computer vision,Eye tracking,Artificial intelligence,Medicine | Conference |
Volume | ISSN | Citations |
163 | 0926-9630 | 4 |
PageRank | References | Authors |
0.52 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian F. Allen | 1 | 36 | 3.83 |
| Florian Kasper | 2 | 4 | 0.52 |
| Gabriele Nataneli | 3 | 21 | 2.06 |
| Erik P Dutson | 4 | 69 | 5.16 |
| Petros Faloutsos | 5 | 3082 | 422.32 |