Questions about the effect of point cloud registration
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- Dominant language
- Python
- Stars
- 313
- Forks
- 17
- PR merge metrics
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Description
Excellent work！I achieved satisfactory registration results using the RAP project in some angularly-defined map scenes. However, I failed to obtain excellent registration results on some datasets with complex indoor scenes. Could it be that my configurations are incorrect?
The dataset I used is 3DMatch/kitchen.
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Research direction
The report concerns RAP registration on the 3DMatch/kitchen dataset and includes configuration screenshots, but it names no source file, test, or entry point. Start by reproducing the reported result with the shown dataset and parameters, then trace the registration configuration and compare the outcome with the expected behavior. Done means establishing whether the configuration or the registration method explains the result and documenting the diagnosis.
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Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100