normnd(DATA) computes the vector normal to the N-dimensional sample
point locations in DATA. DATA is defined as an MxN matrix where M is
the number of samples. Each column contains the sample locations in
each of the orthogonal dimensions in N-dimensional space
% Compute the normal vector to 3-D sample points
data = randn(20,3);
% Bias the normal vector toward the Z-axis
data(:,3) = data(:,3)./10;
v = normnd(data);
hold on; quiver3(mean(data(:,1)),mean(data(:,2)),mean(data(:,3)),v(1),v(2),v(3))
See also: cov, eig.
Jered Wells (2023). Point cloud normal vector (https://www.mathworks.com/matlabcentral/fileexchange/41609-point-cloud-normal-vector), MATLAB Central File Exchange. 검색됨 .
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