| User | Berti |
|---|---|
| Publication | Drost et al., Model globally, match locally: Efficient and robust 3D object recognition, CVPR 2010. |
| Implementation | |
| Training image modalities | None |
| Test image modalities | RGB-D |
| Description | An implementation of the paper, including - ICP for post-processing - using 3D surface and 3D edges for voting - using 3D surface, 3D edges and 2D images for refinement The parameters are set to a slower, but more accurate mode (relative sampling distance of 0.03 for model creation and matching). CPU only, no GPU is used. Implementation: HALCON 19.05 progress. |
| Computer specifications | Max. 12 Threads on intel Xeon CPU E5-2690 v4 @ 2.60GHz, 2601 Mhz |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2019-08-12 12:23 | - | LM | ||
| 2019-08-12 12:23 | - | T-LESS | ||
| 2019-08-12 12:24 | - | TUD-L | ||
| 2019-08-12 12:24 | - | LM-O | ||
| 2019-08-12 12:24 | - | IC-MI | ||
| 2019-08-12 12:24 | - | IC-BIN | ||
| 2019-08-12 12:25 | - | RU-APC | ||
| 2019-08-12 12:25 | - | TYO-L | ||
| 2019-08-12 12:25 | - | ITODD | ||
| 2019-08-12 12:25 | - | HB | ||
| 2019-08-22 06:12 | - | YCB-V |