Plane Fitting and Normal Calculation

版本 1.4.0.0 (36.0 KB) 作者: Dan Couture
Given a set of x,y,z coordinates, find the best planar fit.
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更新时间 2013/8/26

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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)

引用格式

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

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fitNormal/

版本 已发布 发行说明
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