Comments (1)
Hello @maazraan SfM results are up to scale, or else you need to apply some knowledge about the scene or image positioning (ControlPoint, GPS).
Do you have such information?
Else you can quickly compute the average size of the camera positions, and rescale one reconstruction to scale the other one.
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Related Issues (20)
- Feat: Python Support HOT 1
- issue regarding ui_openMVG_control_points_registration
- Step #20 is not executing HOT 2
- ui_openMVG_control_points_registration and GPS registration HOT 5
- A Compile Error "flann/util/serialization.h:18:14: error: request for member 'serialize' in 'type', which is of non-class type 'long long unsigned int'"
- Unit of RMSE HOT 1
- Confusion in GCP Workflow, High Errors with Different Dataset HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: 'ui_openMVG_control_points_registration' HOT 2
- Use GPU with ceres? HOT 1
- Run BA after the VO example code. HOT 1
- How to use SfM Pipeline without Python HOT 4
- Distortions in results HOT 1
- Filter matches matches.f.bin not build HOT 3
- openMVG_main_ChangeLocalOrigin not working
- How could I add new camera model like Pinhole_Intrinsic_Test HOT 3
- The result is not good when I use openMVG_main_ColHarmonize
- Data that are exported are the rotation matrix and the world camera position => ```C```.
- 2.0 fails to compile with ceres-solver-2.2.0: no member named 'CX_SPARSE' in namespace 'ceres' HOT 2
- One static library lib/libopenMVG_stlplus.a is built when all other libraries are dynamic
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