Plane Fitting and Normal Calculation

Given a set of x,y,z coordinates, find the best planar fit.
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Mise à jour 26 août 2013

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Given a set of x,y,z coordinates, find the best planar fit to the points via a least squares regression. Testing script "t_fitNormal" is also included to verify functionality and demonstrate usage.

Sample Call
> data = rand(50,3)*100;
> data(:,3) = data(:,1) * .4 + data(:,2) * .6 + rand(50,1);
> n = fitNormal(data,1)

Citation pour cette source

Dan Couture (2024). Plane Fitting and Normal Calculation (https://www.mathworks.com/matlabcentral/fileexchange/37775-plane-fitting-and-normal-calculation), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2007a
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version
1.4.0.0

Graph scaling to the data provided

1.3.0.0

Use residuals to determine which of the fits is best and allow for data that is not perfectly planar.

1.0.0.0