RANSAC parameters for geometric verification about local-feature-evaluation HOT 3 CLOSED

Hi, you should use the default parameters in COLMAP. No changes needed. I will highlight this more in the benchmark instructions. The min_inlier_ratio parameter determines the maximum number of RANSAC iterations and not whether an image pair is overlapping or not. The value that determines whether an image pair is overlapping or not is the min_num_inliers parameter.

Note that outlier matches and outlier image pairs will be filtered out during the reconstruction stage.

Let me know whether this answers your question. I will close this issue as resolved, but feel free to reopen.

from local-feature-evaluation.

Thank you very much, that would be clear to me. May I ask one more question about counting inlier pairs/matches? If I'm not wrong they are counted after sparse reconstruction, and only registered images are taken into account. If so, addtional programming is needed to parse the COLMAP output rather than use script 'export_inlier_matches.py' in the COLMAP repo, am I right?

from local-feature-evaluation.

The inlier pairs/matches are counted before reconstruction. This metric thus contains outliers and the number of sparse points, registered images, etc. is a more precise measure after the reconstruction. I didn't have time to prepare all the code before the conference, but over the next weeks I will prepare scripts that will automatically extract all evaluation metrics.

from local-feature-evaluation.