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This repository has been archived by the owner on Dec 30, 2023. It is now read-only.
python-pcl is a great wrapper for pcl in python. However, sometimes the make_moving_least_squares function changes the point cloud size (in most times reduce the size).
For example, the original point cloud contains 500,000 points, the point cloud after MLS might contain roughly 499,900 ~ 499,999 points.
If the per-point color information of the original point cloud is available. How can we re-index these colors in the MLS processed point clouds?
Any comment is appreciated
The text was updated successfully, but these errors were encountered:
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Hi python-pcl team,
python-pcl is a great wrapper for pcl in python. However, sometimes the
make_moving_least_squares
function changes the point cloud size (in most times reduce the size).For example, the original point cloud contains 500,000 points, the point cloud after MLS might contain roughly 499,900 ~ 499,999 points.
If the per-point color information of the original point cloud is available. How can we re-index these colors in the MLS processed point clouds?
Any comment is appreciated
The text was updated successfully, but these errors were encountered: