Point-to-Plane

Also referred to as Cloud-to-Plane.

Description

The intrinsic resolution of the point clouds is proposed as a normalizer to convert the mean square errors to pean-signal noise ratio numbers.

Interpretation

The Point-to-Plane requires a large plane to have as many points as possible for reference.

Limits

The quality of the results depends on

• the surface quality of the plane

• knowledge about the position and orientation of the plane

Example

Will be added in the future.

Tools and Libraries

Python

MATLAB

C++

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.

Literature

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296925