Name
Abstract | ||
|---|---|---|
This paper presents a novel markerless monocular tracking system aimed at guiding ophthalmologists during external eye surgery. This new tracking system performs a very accurate tracking of the eye by detecting invariant points using only textures that are present in the sclera, i.e., without using traditional features like the pupil and/or cornea reflections, which remain partially or totally occluded in most surgeries. Two known algorithms that compute invariant points and correspondences between pairs of images were implemented in our system: Scalable Invariant Feature Transforms (SIFT) and Speed Up Robust Features (SURF). The results of experiments performed on phantom eyes show that, with either algorithm, the developed system tracks a sphere at a 360° rotation angle with an error that is lower than 0.5%. Some experiments have also been carried out on images of real eyes showing promising behavior of the system in the presence of blood or surgical instruments during real eye surgery. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.compmedimag.2014.08.001 | Computerized Medical Imaging and Graphics |
Keywords | DocType | Volume |
Eye tracking,External eye surgery,Markerless video tracking,SIFT,SURF,Computer aided surgery | Journal | 38 |
Issue | ISSN | Citations |
8 | 0895-6111 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Monserrat | 1 | 111 | 9.17 |
| María José Rupérez | 2 | 7 | 2.59 |
| Mariano Alcañiz Raya | 3 | 509 | 45.46 |
| J Mataix | 4 | 0 | 0.34 |