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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

  Reduced point cloud 1 Reduced point cloud 2 Rot. error (degrees) Translation error (mm)
  Number of points (% of total) Resolution (mm) Number of point (% of total) Resolution (mm)   
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