Open lkosh opened 3 years ago
I have the same question
Hi, I've been trying to pre-compute camera poses of TUM_RGBD dataset with ORB_SLAM2 tool and running consistent_depth algorithm. Ideally, this should result in a faster and more accurate reconstruction, since SLAM is better at predicting poses. However I haven't been able to get consistent_depth to work with these poses, because COLMAP fails to reconstruct depth maps.
In the paper you mention that you have tested the algorithm on TUM_RGBD dataset, which is close to what I'm trying to do, since ORB_SLAM outputs poses in TUM dataset format. Could you share the steps you took to achieve a successful evaluation on this dataset?
Did you solve the problem?
Hi, I've been trying to pre-compute camera poses of TUM_RGBD dataset with ORB_SLAM2 tool and running consistent_depth algorithm. Ideally, this should result in a faster and more accurate reconstruction, since SLAM is better at predicting poses. However I haven't been able to get consistent_depth to work with these poses, because COLMAP fails to reconstruct depth maps.
In the paper you mention that you have tested the algorithm on TUM_RGBD dataset, which is close to what I'm trying to do, since ORB_SLAM outputs poses in TUM dataset format. Could you share the steps you took to achieve a successful evaluation on this dataset?