Plane Fitting and Normal Calculation

Given a set of x,y,z coordinates, find the best planar fit.
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Aggiornato 26 ago 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)

Cita come

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

Compatibilità della release di MATLAB
Creato con R2007a
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Versione Pubblicato Note della release
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