Table 3. Comparison of resultant matrices computed from 3-point change of basis technique and 5-point linear least squares method. The matrices are presented from CRW-to-MidACPC and the reverse as 3 x 4, where the 3 x 3 components are the rotational vectors and the last column is the translation. One can observe that the matrices are very similar and a simple delta, subtraction, between each is presented. Analysis of the 3 x 3 vector component of each matrix by orthonormality and orthogonality are close to 1 and 0, respectively, which would be expected in this affine system.
CRW- | MidACPC- | ||||||||
MidACPC | Matrix 1: | CRW | Matrix 2: | ||||||
Change of Basis | 0.993792 | -0.03941 | 0.104036 | 2.05 | 0.993792 | 0.032717 | -0.106 | -1.726 | |
3-points | 0.032717 | 0.997329 | 0.065298 | 2.5 | -0.03941 | 0.997329 | -0.061 | -2.185 | |
-0.10633 | -0.06149 | 0.992428 | 3.7 | 0.104036 | 0.065298 | 0.9924 | -4.049 | ||
Matrix 3: | Matrix 4: | ||||||||
Linear Least Squares | 0.993983 | -0.04348 | 0.104011 | 2.021192 | 0.993471 | 0.036872 | -0.107 | -1.707 | |
5-points | 0.033201 | 0.995652 | 0.065853 | 2.472828 | -0.03998 | 0.998827 | -0.062 | -2.161 | |
-0.10593 | -0.06087 | 0.992991 | 3.680035 | 0.103533 | 0.065161 | 0.9919 | -4.021 | ||
Delta | -0.00019 | 0.004065 | 2.51E-05 | 0.028808 | 0.000322 | -0.00415 | 0.0002 | -0.018 | |
-0.00048 | 0.001677 | -0.00056 | 0.027172 | 0.000563 | -0.0015 | 0.0006 | -0.024 | ||
-0.0004 | -0.00062 | -0.00056 | 0.019965 | 0.000503 | 0.000137 | 0.0005 | -0.028 | ||
Orthonormality | Orthonormality | Orthonormality | Orthogonality | Orthogonality | Orthogonality | ||||
AP | LAT | VERT | AP-LAT | LAT-VERT | AP-VERT | ||||
Matrix 1 | 1 | 1 | 1 | -1.39E-15 | 1.19E-15 | 3.25E-15 | |||
Matrix 2 | 1 | 1 | 1 | 1.26E-15 | -1.33E-15 | -2.73E-15 | |||
Matrix 3 | 1.000711 | 0.996762 | 1.000959 | -0.00344 | 0.00127 | 0.000633 | |||
Matrix 4 | 0.999687 | 1.003105 | 0.998815 | 0.003722 | -0.0006 | -0.00038 |