Table 1 Errors obtained by the coarse alignment algorithm for ten different objects
From: 3D point cloud registration based on a purpose-designed similarity measure
| Â | Reduced point cloud 1 | Reduced point cloud 2 | Rot. error (degrees) | Translation error (mm) | ||
|---|---|---|---|---|---|---|
| Â | Number of points (% of total) | Resolution (mm) | Number of point (% of total) | Resolution (mm) | Â | Â |
Ducky | 859 (1.61%) | 3.83 | 1142 (1.90%) | 3.41 | 2.99 | 1.15 |
Femur | 453 (1.54%) | 3.75 | 497 (1.25%) | 4.32 | 3.77 | 1.94 |
Igea | 544 (0.93%) | 4.67 | 419 (0.73%) | 5.16 | 2.49 | 1.89 |
Fighter | 635 (2.13%) | 2.37 | 401 (2.67%) | 2.20 | 1.50 | 0.47 |
Dino | 528 (4.92%) | 2.31 | 314 (2.45%) | 2.87 | 4.09 | 1.00 |
Mole | 673 (1.45%) | 3.79 | 652 (1.65%) | 3.41 | 2.34 | 1.06 |
Isis | 543 (3.50%) | 2.21 | 381 (1.47%) | 3.37 | 3.62 | 2.06 |
Liberty | 715 (5.27%) | 1.93 | 428 (2.47%) | 2.77 | 4.84 | 0.66 |
Pitbull | 153 (0.83%) | 4.99 | 108 (0.58%) | 5.29 | 2.31 | 0.89 |
Female | 549 (5.58%) | 1.90 | 244 (1.67%) | 3.38 | 3.54 | 0.62 |