Name
Abstract | ||
|---|---|---|
Visual rigid localisation algorithms can be described by their model/sensor input couple, where model and input can either be 2-D or 3-D sets of points. While Perspective-N-Point PnP solvers directly solve the 3-D/2-D case, to the best of our knowledge there is no localisation method to directly solve the 2-D/3-D case. This work proposes to handle the 2-D/3-D case by expressing it as two successive PnP problems which can be dealt with using classical solvers. Results suggest the overall method has comparable or better precision and robustness than state of the art PnP solvers. The approach is demonstrated on an object localisation application. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-25903-1_44 | ACIVS |
Keywords | Field | DocType |
Modelling,Localisation,Motion,Structure,PnP,RGB-D | Computer vision,Computer science,Robustness (computer science),Artificial intelligence | Conference |
Volume | ISSN | Citations |
9386 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guido Manfredi | 1 | 4 | 1.15 |
| Michel Devy | 2 | 542 | 71.47 |
| Daniel Sidobre | 3 | 68 | 8.15 |