Sphere Fit (least squared)
Note de l’éditeur : This file was selected as MATLAB Central Pick of the Week
Given a set of data points, this function calculates the center and radius of the data in a least squared sense. The least squared equations are used to reduce the matrix that is inverted to a 3x3, opposed to doing it directly on the data set. Does not require a large arc or many data points. Assumes points are not singular (co-planar) and real...
Created on R2010b, but should work on all versions.
Citation pour cette source
Alan Jennings (2024). Sphere Fit (least squared) (https://www.mathworks.com/matlabcentral/fileexchange/34129-sphere-fit-least-squared), MATLAB Central File Exchange. Récupéré le .
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Version | Publié le | Notes de version | |
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1.1.0.0 | Since the matrix A is symmetric, I changed the calculation to avoid superfluous calculations. Runs about 25% faster, and even better for large data sets. |
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1.0.0.0 |