Plane Fitting and Normal Calculation

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

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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)

인용 양식

Dan Couture (2026). Plane Fitting and Normal Calculation (https://kr.mathworks.com/matlabcentral/fileexchange/37775-plane-fitting-and-normal-calculation), MATLAB Central File Exchange. 검색 날짜: .

카테고리

Help CenterMATLAB Answers에서 Linear and Nonlinear Regression에 대해 자세히 알아보기

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버전 퍼블리시됨 릴리스 정보 Action
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