ConvexHull
Open
enhancement
help wanted
- Dominant language
- Java
- Stars
- 6
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
the Convex Hull from [3D ImageJ Suite](https://imagej.net/3D_ImageJ_Suite) does the job but it's so slow!!!
We usually downscale 2 to 8 times (which means we also lose precision).
Is there a way to have ConvexHull, GPU-fasten?
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the ConvexHull implementation in clijx and comparing its behavior with the linked 3D ImageJ Suite implementation. Measure the current runtime and assess GPU acceleration while preserving precision rather than relying on 2–8× downscaling. Done means a defined faster path with results validated against the existing ConvexHull behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java
- Domain
- computer-vision, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100