3D similarity transformation based on quaternions

This function solves asymmetric and symmetric 3D similarity transformation based on quaternions.
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Actualizado 14 Jul 2020

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tr_3dq function solves asymmetric and symmetric 3D similarity transformation based on quaternions.

The transformation parameters- 3 translations, 3 rotation angles and one scale factor- between two Cartesian coordinate systems are estimated with least-squares and total least-squares for asymmetric and symmetric cases, respectively. It works for any rotation angle, converges without any condition error (if the constellation of the reference points is proper), and does not need good starting values of the transformation parameters to initialize the iterative estimation.

Please refer to the following article for more information:

Uygur SO, Aydin C, Akyilmaz O, (2020), Evaluating Euler rotation angles from 3D Coordinate transformations based on quaternions, Journal of Spatial Science, https://doi.org/10.1080/14498596.2020.1776170

Citar como

Cuneyt Aydin (2024). 3D similarity transformation based on quaternions (https://www.mathworks.com/matlabcentral/fileexchange/78086-3d-similarity-transformation-based-on-quaternions), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020a
Compatible con cualquier versión
Compatibilidad con las plataformas
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Versión Publicado Notas de la versión
1.0.1

Reference has been updated

1.0.0