Also referred to as Cloud-to-Plane.
The intrinsic resolution of the point clouds is proposed as a normalizer to convert the mean square errors to pean-signal noise ratio numbers.
The Point-to-Plane requires a large plane to have as many points as possible for reference.
The quality of the results depends on
the surface quality of the plane
knowledge about the position and orientation of the plane
Will be added in the future.
Tools and Libraries
The Point Cloud Libray (PCL) provides a GitHub repository to find planes in a point cloud. However, the quality assesment part is missing. A program has to be written to implement the point-to-plane metric.