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Table 5 Comparison of target identification between the algorithm of this paper and the center-of-centroid method

From: Evaluation of new target structure and recognition for point cloud registration and coordinates transformation of China’s large double-span bridge

  

Algorithm of this paper (m)

the center-of-centroid method

Difference value (mm)

Number

Feature

\(x\)(m)

\(y\)(m)

\(z\)(m)

\(x\)(m)

\(y\)(m)

\(z\)(m)

\(\Delta x\)

\(\Delta y\)

\(\Delta z\)

1

Full

 − 2.1633

46.6642

 − 0.2360

 − 2.1629

46.6638

 − 0.2365

 − 0.3

0.5

0.5

Defects1/3

 − 2.1633

46.6642

 − 0.2361

 − 2.1651

46.6653

 − 0.2282

1.8

 − 1.0

 − 7.8

Defects2/3

 − 2.1632

46.6643

 − 0.2359

 − 2.1685

46.6651

 − 0.2214

5.3

 − 0.7

 − 14.5

Cover 1/3

 − 2.1629

46.6634

 − 0.2360

 − 2.1494

46.6840

 − 0.2181

 − 13.5

 − 20.6

 − 17.9

Cover 2/3

 − 2.1630

46.6626

 − 0.2367

 − 2.1519

46.6981

 − 0.1806

 − 11.2

 − 35.5

 − 56.1

2

Full

 − 22.0447

55.1666

2.3041

 − 22.0443

55.1660

2.3043

 − 0.4

0.6

 − 0.3

3

Full

 − 24.0349

27.4989

 − 0.2163

 − 24.0347

27.4985

 − 0.2167

 − 0.2

0.4

0.3