How to use images with different zoom levels for incremental reconstruction?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.8k
- Forks
- 899
- PR merge metrics
- No merged PRs in 30d
Description
Hi! I wanted to know how images with different (varying) zoom levels can be used to create a reconstruction? Using incremental reconstruction, it ends up reconstructing a curved surface for flat land. Is there some parameter that can be used to fix this?
Additionally, could you point me to references that I can read to understand how both incremental and triangulation reconstruction algorithms works in some detail? The documentation is superficial.
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
Start by reviewing the existing documentation for incremental and triangulation reconstruction, then investigate how varying image zoom levels are handled. Document the supported workflow, whether a parameter addresses curved reconstruction of flat land, and references that explain both algorithms in more detail.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- opencv, python
- Domain
- computer-vision, documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100