merge sub-point cloud
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- Dominant language
- Python
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Description
I am seeking to integrate two datasets that have been processed independently, where one dataset is smaller and constitutes a subset of the other's point cloud. My objective is to merge these datasets based on the reference lla (latitude, longitude, altitude) of the larger dataset, while also optimizing camera parameters and the point cloud alignment. Although I attempted to align them as submodels, the process only affected the reconstruction file and did not reflect changes in the point cloud. It appears that generating a new point cloud (PLY file) may be necessary for proper integration.
any suggestion??
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
No source files or tests are named. Start by reviewing the submodel-alignment behavior and the generation of the reconstruction file and PLY point cloud; clarify how reference LLA, camera optimization, and point-cloud alignment should interact. Done should mean the two datasets are integrated and the aligned result is reflected in a new point cloud.
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
- Needs clarification
- Newbie friendliness
- 20/100