| 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 | D |
| Description | An implementation of the paper, including ICP for post-processing and using 3D surface and 3D edges for voting. The parameters are set to a slower, but more accurate mode (relative sampling distance of 0.03 for model creation and matching). No images are used. 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 | ||
|---|---|---|---|---|
| 2019-08-05 08:19 | - | LM | ||
| 2019-08-05 08:20 | - | T-LESS | ||
| 2019-08-05 08:20 | - | TUD-L | ||
| 2019-08-05 08:20 | - | LM-O | ||
| 2019-08-05 08:20 | - | IC-MI | ||
| 2019-08-05 08:20 | - | IC-BIN | ||
| 2019-08-05 08:21 | - | RU-APC | ||
| 2019-08-05 08:21 | - | TYO-L | ||
| 2019-08-05 08:21 | - | ITODD | ||
| 2019-08-05 08:21 | - | HB | ||
| 2019-08-21 06:09 | - | YCB-V |