A way to apply SfM from frames belonging to Multi-camera with shared FoV?
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- Dominant language
- Python
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Description
Hi,
I am trying to understand whether it is possible to run SfM for a scene involving moving targets, but static multi-view cameras. (Initial pose of the camera wouldn't change with time). I don't plan to use it for real-time but as a post-processing step. How can I pass multiple-images from the same camera, which are temporally aligned? (in other words, a video stream from multiple cameras).
Furthermore, once the a) Focal length of the camera, b) Relative pose of the cameras are obtained, I would like to use this information to sequentially compute feature, map them and obtain depth maps. I am only interested in the depth maps and hence would prefer to not save the features, matches, etc. locally. Is there a stand-alone script that does it?
Thank you in advance for your time and response.
Regards,
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Research direction
No files, tests, or entry points are named. Start by reviewing the OpenSfM pipeline and its documented input and output paths; done would require a clearly scoped answer or implementation plan for temporally aligned multi-camera streams and depth-only processing.
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Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100