Name
Abstract | ||
|---|---|---|
•A multi-camera calibration method for a real-time produce grading system is described.•The method is totally unsupervised.•The calibration target is a spheroidal ball with dot markers.•Residual fitting (reprojection) error of 0.35px is reliably achieved.•Validation objects are reconstructed with 0.2mm error. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compag.2017.06.014 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Multi-camera calibration,Spheroid target,Dot pattern,Produce inspection,3D vision | Computer vision,Reprojection error,Computer graphics (images),Monochrome,Bundle adjustment,Root-mean-square deviation,Artificial intelligence,Engineering,Calibration,3d vision | Journal |
Volume | ISSN | Citations |
140 | 0168-1699 | 0 |
PageRank | References | Authors |
0.34 | 15 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew D. Wilson | 1 | 5065 | 362.19 |
| Gadi Ben-Tal | 2 | 0 | 0.34 |
| Jamie Heather | 3 | 0 | 0.34 |
| Richard Oliver | 4 | 0 | 0.34 |
| Robert Valkenburg | 5 | 0 | 0.34 |