Question: Is there a way to specify region of interest after building sparse cloud?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.8k
- Forks
- 899
- PR merge metrics
- No merged PRs in 30d
Description
I am trying to use open SFM to create 3D models of icebergs. Here is an example of the resulting Sparse cloud
As you can see, the iceberg of interest is the one in the center, the other smaller pieces of ice move around and aren't consistent geometrically with the main iceberg. Also there are underwater and far off points that are being tracked. The dense cloud look like:
Is there a way to specify a region of interest around the main iceberg. Ideally I would be able to:
- In the sparse cloud, trim points not on the main iceberg.
- Redo the bundle adjustment with the points on the main iceberg only.
- Create dense cloud only within the region of interest.
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 entry points are mentioned. Start by tracing OpenSfM's sparse-cloud filtering, bundle-adjustment, and dense-cloud generation workflow to determine whether a region of interest can be applied between these stages; done would support retaining the main iceberg, rerunning bundle adjustment, and limiting dense reconstruction to that region.
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
- Mostly clear
- Newbie friendliness
- 25/100