Abstract
Recently, it has been shown how quaternion-based representation of a rotation matrix has advantages over conventional Eulerian representation in 3D similarity transformations. The iterative estimation procedure in similarity transformations based on quaternions results in translations and (scaled) quaternion elements. One needs, therefore, an additional procedure for evaluating the rest of the transformation parameters (translation, scale factor and rotation angles) after this solution.This contribution shows how to evaluate the rotation angles and the full covariance matrix of the transformation parameters from the estimation results in asymmetric and symmetric 3D similarity transformations based on quaternions.
Original language | English |
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Pages (from-to) | 1-18 |
Number of pages | 18 |
Journal | Journal of Spatial Science |
DOIs | |
Publication status | Published - 2020 |
Bibliographical note
Publisher Copyright:© 2020, © 2020 Mapping Science Institute, Australia and Surveying and Spatial Science Institute.
Keywords
- 3D similarity transformation
- covariance matrix
- euler rotation angle
- quaternion
- total least squares