Hi.
I am relatively new to metashape, and I am trying to figure out a workflow for my historic close-range photogrammetry projects.
In my current sample project, I have 513 images, which cover a distance of about 70m. Each image shows a relatively high amount of coded targets, since I have deployed 1413 targets along the 70m.
Now I'd like to perform a bundle-adjustment based on these targets. I understand that it is not possible to fully exclude Tie Points, but following these instructions
https://www.agisoft.com/forum/index.php?topic=14319.msg62976#msg62976, this is what I've done so far:
- Imported images
- Run alignment
- Detect coded markers
- Removed faulty markers manually (graphically in the model and using workspace by removing pointnumbers that weren't deployed)
- Run optimizeCameras
- set Marker accuracy to 0.2 pix and Tie point accuracy to 1+ pix
The attatchment show what a typical image and the model looks like at the current state.
My question is now, how to proceed?
- I have a set of 3D-points (real workld coordinates) that may be used for a camera calibration
- I have a list of known 3D-distances (also called "constraints" or "scale bars"), which I'd like to import. I know the manual way of creating scalebars in meatashape, but I wonder if I can just import the list, in order to speed up the process
Could please instruct me?
Thank you.