Human point cloud registration
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- computer-vision
Research direction
No file, test, or entry point is named. First clarify whether the requested outcome is support for a rotating person under a depth camera, and gather the scene format, available point-cloud data, and expected registration result before assessing whether FINet can address it.
Written by the indexing model from the issue text.
Description
My scene is like this: a person rotates once under the depth camera. Can such data be registered using your method
- Dominant language
- Python
- Stars
- 30
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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