Name
Abstract | ||
|---|---|---|
Vision-based tracking of tissue is a key component to enable augmented reality during a surgical operation. Conventional tracking techniques in computer vision rely on identifying strong edge features or distinctive textures in a well-lit environment; however endoscopic tissue images do not have strong edge features, are poorly lit and exhibit a high degree of specular reflection. Therefore, prior... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TMI.2012.2212718 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Feature extraction,Tracking,Surface reconstruction,Image registration,Stereo image processing,Surgery,Real time systems | Computer vision,Feature detection (computer vision),Feature (computer vision),Image-guided surgery,Image processing,Feature extraction,Augmented reality,Frame rate,Artificial intelligence,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
31 | 11 | 0278-0062 |
Citations | PageRank | References |
11 | 0.57 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael C. Yip | 1 | 140 | 24.72 |
| D. G. Lowe | 2 | 15718 | 1413.60 |
| Septimiu E. Salcudean | 3 | 720 | 72.86 |
| Robert Rohling | 4 | 488 | 69.77 |
| Christopher Y. Nguan | 5 | 57 | 6.69 |