Poor Quality Point Cloud in SfM with Custom Configuration
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Description
I am experiencing issues with the quality of the point cloud generated by my Sfm pipeline. Despite trying various configuration parameters, the resulting point cloud is not good enough. Below are the details of my setup and the steps I have taken so far.
Configuration:
depthmap_min_consistent_views: 3
hahog_edge_threshold: 30
depthmap_save_debug_files: 'no'
feature_min_frames: 12000
Steps Taken:
Captured several images with a distance of 5 meters between each image.
Added an exif_overrides file to the project.
Experimented with various configuration parameters, but the point cloud quality remains unsatisfactory.
Images and Results:
Questions:
Are there any issues with my current configuration that could be causing poor point cloud quality?
What other configuration parameters should I try to improve the point cloud?
Are there best practices for capturing images or additional preprocessing steps that I should follow?
Additional Information:
Attachments:
Sample images of the point cloud
Thank you for your assistance!
@fabianschenk @YanNoun @paulinus
Contributor guide
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.
Research direction
No source file, test, or entry point is named. Start by reproducing the SfM pipeline with the listed settings and sample images, then inspect the configuration and reconstruction diagnostics. Done means identifying a reproducible cause or documenting validated capture and configuration guidance.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100