Point Cloud Quality Metric
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.
The smaller the PCQM score, the better is the quality. A PCQM score of 0 is the best.
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.
Will be added in the future.
Tools and Libraries
A C++ implementation by the authors can be found in https://github.com/MEPP-team/PCQM.