Abstract: The point cloud scan image data first is structured with a x-y-z coordinate system, then split into smaller Cluster Bounds (CB) volumes and a CB x-y-z is imposed on the CB centroid. The Euclidean x-y-z distance (ED) is calculated for each data point. Only points within Radial Distance (RD cylinder) are retained/processed. Data points within RD are weighted; points closer to centroid having higher weights. Each data point has Weighted Value WV (square of the inverse of the x-y-z distance). Each x,y,z has Weighted Average (WAV) per axes. WAV is sum of each original point coordinate times WV, divided by sum all WVs. Resultant is one subsampled point per axis. One WAV per CB is selected based upon axis nearly orthogonal to x,y,z WAV points. All CBs subsampled in parallel. Subsampled output comma separated coordinate file for CAD program.

Abstract: The point cloud scan image data first is structured with a x-y-z coordinate system, then split into smaller Cluster Bounds (CB) volumes and a CB x-y-z is imposed on the CB centroid. The Euclidean x-y-z distance (ED) is calculated for each data point. Only points within Radial Distance (RD cylinder) are retained/processed. Data points within RD are weighted; points closer to centroid having higher weights. Each data point has Weighted Value WV (square of the inverse of the x-y-z distance). Each x, y, z has Weighted Average (WAV) per axes. WAV is sum of each original point coordinate times WV, divided by sum all WVs. Resultant is one subsampled point per axis. One WAV per CB is selected based upon axis nearly orthogonal to x, y, z WAV points. All CBs subsampled in parallel. Subsampled output comma separated coordinate file for CAD program.