Name
Abstract | ||
|---|---|---|
This paper describes a new approach to registration based on the theory of possibilities. We have focused on keypoints extraction methods which present the most important phase for registration which are: Surf, Corner and BRISK. The appearance of a large number of false bones has encouraged us to present a new approach that aims to reduce as much as possible the outliers. The class-based image registration based on the theory of possibilities increases the performance so it reduces the number of false keypoints found. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ATSIP.2018.8364458 | 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) |
Keywords | Field | DocType |
Registration,Keypoints,Speed Up Robust Feature (SURF),BRISK (Binary Robust Invariant Scalable Key-points,CORNER,Theory of possibility) | Computer vision,Computer science,Outlier,Artificial intelligence,Image registration | Conference |
ISBN | Citations | PageRank |
978-1-5386-5240-4 | 0 | 0.34 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wissal Ben Marzouka | 1 | 0 | 0.68 |
| Basel Solaiman | 2 | 127 | 35.05 |
| K. Bsaïes | 3 | 45 | 12.46 |
| Zouhour Ben Dhief | 4 | 0 | 0.68 |
| Atef Hammouda | 5 | 2 | 2.03 |