3D point cloud plane fitting algorithm based on eigendecomposition of covariance matrix
2017-12-16
0 0 0
no vote
Other
Earn points
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.
Related Source Codes
Android AOA Android Open Accessory Development Usi
0
0
no vote
Golang AOA Android Open Accessory HID Control
0
0
no vote
PClite
0
0
no vote
GMSK Linear Receiver
0
0
no vote
The golden version of AFT that has been passed dow
0
0
no vote
No comment