Name
Abstract | ||
|---|---|---|
Significant effort has been devoted within the visual tracking community to rapid learning of object properties on the fly. However, state-of-the-art approaches still often fail in cases such as rapid out-of-plane rotation, when the appearance changes suddenly. One of the major contributions of this paper is a radical rethinking of the traditional wisdom of modeling 3D motion as appearance changes... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIP.2017.2675343 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Three-dimensional displays,Two dimensional displays,Solid modeling,Tracking,Feature extraction,Cameras,Visualization | Structure from motion,BitTorrent tracker,Computer vision,Visualization,Property (programming),Feature extraction,Eye tracking,Solid modeling,Artificial intelligence,Internal model,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 9 | 1057-7149 |
Citations | PageRank | References |
1 | 0.36 | 34 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karel Lebeda | 1 | 273 | 10.16 |
| Simon Hadfield | 2 | 356 | 22.65 |
| Richard Bowden | 3 | 1840 | 118.50 |