From: WTLS iterative algorithm of 3D similarity coordinate transformation based on Gibbs vectors
Parameters | Set 1 | Set 2 | Set 3 (default) | Set 4 | Set 5 | Set 6 |
---|---|---|---|---|---|---|
Scale | ||||||
 \(\lambda\) | 1 | 1 | 1 | 1 | 1 | 1 |
Gibbs vector (from initial rotation angles) | ||||||
 \(a\) | − 0.0210 | − 0.1981 | 0 | 0.0688 | − 0.2513 | − 0.7442 |
 \(b\) | 0.0874 | 0.0453 | 0 | − 0.2867 | − 0.2235 | 0.2915 |
 \(c\) | 0.2400 | 0.2565 | 0 | 0.2401 | − 0.3192 | − 0.1960 |
Rotation angles | ||||||
 \(\theta_{x}\) (°) | 0 | 20 | 0 | 0 | 20 | 76 |
 \(\theta_{y}\) (°) | − 10 | − 10 | 0 | 32 | 30 | − 10 |
 \(\theta_{z}\) (°) | − 27 | − 27 | 0 | − 27 | 30 | 30 |
Biased angles (from the correct solution) | ||||||
 For \(\theta_{x}\) (°) | − 1.1 | 18.9 | − 1.1 | − 1.1 | 18.9 | 74.9 |
 For \(\theta_{y}\) (°) | 2.5 | 2.5 | 12.5 | 44.5 | 42.5 | 2.5 |
 For \(\theta_{z}\) (°) | 2.4 | 2.4 | 29.4 | 2.4 | 59.4 | 59.4 |
Number of iterations | 5 | 5 | 6 | 6 | 8 | 8 |