# 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