Plane Fitting and Normal Calculation

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

Cite As

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

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
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