[Help for Project] Reprojection using point cloud and json of OpenSfM
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Description
Good afternoon, everyone
Wanted to see if it were possible for anyone to help me on a project I’m doing using OpenSfM.
My objective is to make a projection from 3D to 2D, using .ply Point Cloud and write the respective matching pixel on an image. The problem I have right now is scaling.
The image above represents 10% of the points from the 1.6 million vertices point cloud. You can see that it has the shape of the pillar, but the scaling is all wrong. I’m using reconstruction.json from the undistorted folder and using EXIF library to export information from the images to create the camera intrinsic matrix.
Below, there's a zip with image, reconstruction.json and the ipynb code (also the code in .txt form):
I appreciate any help. Thank you in advance and have a wonderful weekend.
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
Review the attached reconstruction.json, iPYNB code.zip, and Projection.txt, beginning with how the reconstruction data and EXIF-derived camera intrinsics are used. Compare the projected point-cloud scale with the supplied image and determine what correction is needed; done means the 3D points align with their matching image pixels.
Written by the indexing model from the issue text.
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