Name
Abstract | ||
|---|---|---|
This paper discusses advances made to the 3D geometrical model matching system within the TINA machine vision environment over the last 10 years including the recent inclusion of a verification stage. We show how this final step closes the loop on the object location system allowing the theoretical location performance to be attained, eliminating key assumptions used in the existing forward pass algorithms. We explain how the use of a system approach has been crucial to the development of key components and summarise our findings. |
Year | Venue | Keywords |
|---|---|---|
2001 | BMVC | machine vision,geometric model |
Field | DocType | Citations |
Model matching,Machine vision,Computer science,Artificial intelligence,Location systems,Machine learning | Conference | 2 |
PageRank | References | Authors |
0.38 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. J. Lacey | 1 | 39 | 6.76 |
| Neil A. Thacker | 2 | 517 | 72.16 |
| Patrick Courtney | 3 | 20 | 2.74 |
| Stephen Pollard | 4 | 2 | 0.38 |