Name
Abstract | ||
|---|---|---|
In the context of minimally invasive cardiac surgery, active vision-based motion compensation schemes have been proposed for mitigating problems related to physiological motion. However, robust and accurate visual tracking remains a difficult task. The purpose of this paper is to present a robust visual tracking method that estimates the 3D temporal and spatial deformation of the heart surface using stereo endoscopic images. The novelty is the combination of a visual tracking method based on a Thin-Plate Spline (TPS) model for representing the heart surface deformations with a temporal heart motion model based on a time-varying dual Fourier series for overcoming tracking disturbances or failures. The considerable improvements in tracking robustness facing specular reflections and occlusions are demonstrated through experiments using images of in vivo porcine and human beating hearts. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.media.2010.12.002 | Medical Image Analysis |
Keywords | Field | DocType |
Medical robotics,Physiological motion compensation,Robust 3D visual tracking,Heart motion prediction | Spline (mathematics),Computer vision,Active vision,Minimally invasive cardiac surgery,Pattern recognition,Motion compensation,Robustness (computer science),Eye tracking,Fourier series,Artificial intelligence,Novelty,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 3 | 1361-8415 |
Citations | PageRank | References |
23 | 1.08 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rogério Richa | 1 | 238 | 14.89 |
| A. P. L. Bó | 2 | 117 | 13.14 |
| Philippe Poignet | 3 | 517 | 59.75 |