Speed up reconstruction using external initial pose estimates
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- Python
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Description
I noticed that the reconstruction for large scenes take a long time. Would providing initial guesses for camera poses that were aquired through some external mechanism speed up the pipeline? I am thinking of inertial measurement units or maybe even from a SLAM system rigidly attached to the camera? Where in the OpenSfM pipeline would I need to set these initial guesses?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or specific entry points are named. Start by tracing the OpenSfM reconstruction pipeline and how camera poses are initialized, then determine what an external IMU or SLAM pose input would require. Done would mean a decided integration point and a defined, testable way to use those initial estimates.
Written by the indexing model from the issue text.
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
- 25/100