全景深度图的泊松融合原理
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- JavaScript
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Description
作者你好！你的工作很棒~我发现MoGe的全景深度图融合效果很自然，但是在阅读infer_panorama.py的时候不是很理解其中的泊松重建算法实现，感觉与poisson image editting论文中的实现略有差异，可以麻烦介绍一下代码实现中的原理吗？或者有没有相关的参考文献可以阅读呢？非常感谢！
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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 with infer_panorama.py and trace its Poisson reconstruction path. Compare the implementation with the Poisson Image Editing paper and identify the relevant differences or adaptations. Done means documenting the algorithm's principle in this project and providing useful reference literature.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100