Plane Fitting and Normal Calculation

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

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2007a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
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Version Veröffentlicht Versionshinweise
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