Obtaining a more crisp point cloud
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- Python
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Description
I am having difficulty with the SFM. It is always generating a fuzzy looking point cloud across multiple datasets. I have attached one example.
It is based on an orbit shot for a sequence of images for which one image looks as follows:
I am not able to easily find information to make this point cloud come out looking nicer. I have tried increasing the number of frames and the camera has relatively high resolution. I can clean up any motion blur a bit more with some of the shots. However, when trying on other datasets where there is a significant number of frames and no motion blur, this fuzzy point cloud issue persists. Can someone suggest a way to fix this?
There are too many parameters in this config file: https://opensfm.org/docs/_modules/opensfm/config.html. I am doing some checking but not totally sure which adjustment is going to make the difference yet.
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
Start by reading opensfm/config.html and reproducing the fuzzy point cloud with the reported orbit sequence and image datasets. Compare the reconstruction-related parameters and document a verified setting or workflow that produces a sharper cloud; no specific test or source entry point is named in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100