Home Projects openMVG
openMVG
C++

openMVG

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

by openMVG · GitHub
Stars
Forks
License
Created
Last commit
Language
3d-reconstructioncomputer-visiondroneMPL-2.0C++
View on GitHub
In plain words

Build 3D models from images using a library designed for computer vision and motion analysis.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
openMVG — GitHub preview card
📈 Star history
6.52k6.51k
2026-07-152026-08-31
📈 Track openMVG

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

openMVG has 6.5k stars on GitHub. It has been forked 1.7k times. openMVG is written mainly in C++. It has been in active development since 2013. openMVG is available under the MPL-2.0 license. Its main topics are 3d-reconstruction, computer-vision, drone, geometry.

Frequently asked questions

What is openMVG?

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

Is openMVG open source?

openMVG is an open-source project. It is released under the MPL-2.0 license.

Is openMVG free?

Yes. openMVG is free and open source — you can use, modify and self-host it. Its MPL-2.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does openMVG use?

openMVG is available under the MPL-2.0 license.

What language is openMVG written in?

openMVG is written mainly in C++.

🏅 Maintainer of this project?
olud.ai badge — openMVG

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=openmvg-openmvg)](https://olud.ai/project/openmvg-openmvg.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.