I have a setup with static cameras. I use colmap pipeline to get image/camera poses.
To speed up iterations I would like to skip as many steps as possible in colmap pipeline.
Can pipeline be simplified when cameras are static?
1. Extract features from new set of images.
2. Match features in new set of images.
3. Use previous camera poses to position images.
4. Run bundle adjustment to fix any minor errors, if some camera moved slightly between reconstructions.
Do I need to run mapper between steps 3 and 4?
What is the easiest way to import image poses into colmap db?
Do I need to write to database directly with python script?