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DAGSfM
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DAGSfM

Distributed and Graph-based Structure from Motion. This project includes the official implementation of our Pattern Recognition 2020 paper: Graph-Based Parallel Large Scale Structure from Motion.

by AIBluefisher · GitHub
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3d-reconstructionclusteringcomputer-visionBSD-3-ClauseC
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Reconstruct 3D scenes from multiple images using a distributed approach.

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2026-07-202026-08-31
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📄 About

Distributed and Graph-based Structure from Motion. This project includes the official implementation of our Pattern Recognition 2020 paper: Graph-Based Parallel Large Scale Structure from Motion.

DAGSfM has 422 stars on GitHub. It has been forked 91 times. DAGSfM is written mainly in C. It has been in active development since 2018. DAGSfM is available under the BSD-3-Clause license. Its main topics are 3d-reconstruction, clustering, computer-vision, distributed-systems.

Frequently asked questions

What is DAGSfM?

Distributed and Graph-based Structure from Motion. This project includes the official implementation of our Pattern Recognition 2020 paper: Graph-Based Parallel Large Scale Structure from Motion.

Is DAGSfM open source?

DAGSfM is an open-source project. It is released under the BSD-3-Clause license.

Is DAGSfM free?

Yes. DAGSfM is free and open source — you can use, modify and self-host it.

What license does DAGSfM use?

DAGSfM is available under the BSD-3-Clause license.

What language is DAGSfM written in?

DAGSfM is written mainly in C.

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