opengv
A collection of computer vision methods for geometric vision problems. It covers camera pose estimation, triangulation and point cloud alignment for calibrated cameras.
Share on XCustom license (see repository)
Overview
OpenGV is a collection of computer vision methods for geometric vision problems. It covers absolute pose, relative pose, triangulation and point cloud alignment for calibrated cameras. Every problem can be solved for central or non-central cameras and used inside a random sample consensus or nonlinear optimization setup. Matlab and Python interfaces are also provided.
Key features
- Absolute pose and relative pose estimation
- Triangulation and point cloud alignment
- Supports central and non-central cameras
- Matlab and Python interfaces
Best for
Computer vision researchers and engineers who need geometric solvers for calibrated cameras, including multi-camera rigs. The methods target the calibrated case.
- Upstream
- mapillary/opengv
- Fork on GitHub
- Guo-astro/opengv
- Upstream stars
- 5
- Category
- Finance, data and research
- License
- Custom license (see repository)
- Forked
- 2020-12-06
- Sync status
- In syncLast synced 2026-10-16
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