Open royw99 opened 6 months ago
Hi @royw99 , sorry for the late response. In general, COLMAP relies on keypoint correspondences. By default RoMa randomly samples a set of correspondences between each pair, which will not be consistent between the pairs. Integrating dense matching into SfM pipelines is an open problem, but one way is to match with roma (to get F/E), and then also use a keypoint detector and match the keypoints with roma.
Hi Roma contributors,
I find RoMa model works extremely well on my dataset, as evidenced by the graphs I have drawn according to the points RoMa matched together. Yet it seems to be quite incompatible with
pycolmap.incremental_mapping()
for some unknown reasons. For a 55-images image set, I keep getting only two camera registered while producing very small reprojection_error. My primary aim is to estimate the poses of the cameras that generate the images.The issue is a little complicated and I understand that it may not be solved with this little context. So, if you would like to help, I can send you my code for further inspection. Thank you a lot for working out this brilliant model!
Best regards,
Roy