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3D point cloud plane fitting algorithm based on eigendecomposition of covariance matrix
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The running mode of the code is roughly as follows: read in the three-dimensional scatter array, and calculate the point where the average value is located as the datum point of the fitting plane. Then the covariance matrix of scatter is calculated, and then the covariance matrix is eigendecomposed. The eigenvector corresponding to the minimum eigenvalue is the coefficient of the eigenplane.
chenshaoboer
2017-12-16
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