Point Cloud Quality Metric
Full-Reference Metric
Description
The Point Cloud Quality Metric (PCQM) is an objective metric for visual quality assessment of colored 3D point clouds. It in an optimally-weighted linear combination of geometry-based and color-based features. It matches color points of an image with PCL points to derive the quality of the PCL points.
Interpretation
The smaller the PCQM score, the better is the quality. A PCQM score of 0 is the best.
Limits
The quality of the results depends on the matching algorithm between 2D image data and the point cloud data. Therefore the quality of the matching has to be evaluated, too.
Example
Will be added in the future.
Tools and Libraries
Python
MATLAB
C++
A C++ implementation by the authors can be found in https://github.com/MEPP-team/PCQM.