Sampling a partial view point cloud from a mesh
- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 229
- PR merge metrics
- No merged PRs in 30d
Description
I see the documentation doesn't touch upon this.
I had a look at https://github.com/daavoo/pyntcloud/blob/master/examples/%5Bvisualization%5D%20PyntCloud.ipynb
Which mentions some nonexistent `examples/[io]` and `examples/[sampling]` notebooks.
Unfortunately, the method `get_sample` doesn't mention anything about partial views either.
Is there some way to obtain a partial view of a mesh as a point cloud? I want to obtain a more realistic point cloud, that only contains points from the parts of the object that are visible from a certain camera (i.e. RGB-D sensor) angle.
Otherwise, it would be nice if there was.
Contributor guide
Research direction
Start with the linked [visualization] PyntCloud.ipynb notebook and the get_sample method documentation, checking the referenced but nonexistent [io] and [sampling] notebooks. Determine the intended scope for camera-visible sampling from a mesh, then establish how support and documentation would be validated; the issue does not name implementation files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-graphics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100