Hello everyone

I need to evaluate the quality of the 3D model (or point cloud) reconstructed from 3D laser scans. The main issue is, that I don´t have the ground truth model for this evaluation. Can you please suggest any ideas? I read many research papers on which usually used photogrammetry or model created from photographs. But I don´t have photos, I can use only scans from a laser scanner. The main goal is to find the best reconstruction method (I have to try many Iterative Closest Point (ICP) variants).

I am thinking about compare distances between reference points of the reconstructed model with manually measured distances from the real object, but it should be an automated process. Or maybe I can use more scanners in fixed positions for scanning different objects and then evaluate ICP transformation. The most consistent transformation should be the best. What do you think about it? Please write your ideas. Thanks 🙂