| Shi-Tomasi
feature tracker |
|
|
|
|
|
|
|
|
|
|
| 1. | Find good
features (min eigenvalue of 22 |
||||||||
| Hessian) |
|||||||||
| 2. | Use Lucas-Kanade
to track with pure |
||||||||
| translation |
|||||||||
| 3. | Use affine
registration with first feature patch |
||||||||
| 4. | Terminate tracks
whose dissimilarity gets |
||||||||
| too large |
|||||||||
| 5. | Start new tracks
when needed |
||||||||
