base on open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion. OpenMVG (open Multiple View Geometry) ===================================== <p align="center"> <img src="https://github.com/openMVG/openMVG/raw/master/logo/openMVG_Logo.png"> <p/> | **License** | **Documentation** | Continuous Integration (Linux/MacOs/Windows) |Build | Code Quality | Chat | |:-:|:-:|:-:|:-:|:-:|:-:| | [](https://github.com/openMVG/openMVG/blob/master/LICENSE) | [](http://openmvg.readthedocs.org/en/latest) <br> [Wiki](https://github.com/openMVG/openMVG/wiki) | [](https://github.com/openMVG/openMVG/actions/workflows/compile_and_run_test.yml) | [local/docker build tutorial ](https://github.com/openMVG/openMVG/blob/master/BUILD.md)| [](https://github.com/openMVG/openMVG/actions/workflows/codeql.yml) <br> [](https://www.codefactor.io/repository/github/openmvg/openmvg) | [](https://gitter.im/openMVG/Lobby) | **Our Mission** - Extend awareness of the power of 3D reconstruction from images/photogrammetry by developing a C++ framework. **Our Vision** - Simplify reproducible research with easy-to-read and accurate implementation of state of the art and "classic" algorithms. **Our Credo** - "Keep it simple, keep it maintainable". - OpenMVG is designed to be easy to read, learn, modify and use. - Thanks to its strict test-driven development and samples, the library allows to build trusted larger systems. **Our codebase and pipeline** OpenMVG provides an end-to-end 3D reconstruction from images framework compounded of libraries, binaries, and pipelines. - **The libraries** provide easy access to features like: images manipulation, features description and matching, feature tracking, camera models, multiple-view-geometry, robust-estimation, structure-from-motion algorithms, ... - **The binaries** solve unit tasks that a pipeline could require: scene initialization, feature detection & matching and structure-from-motion reconstruction, export the reconstructed scene to others Multiple-View-Stereovision framework to compute dense point clouds or textured meshes. - **The pipelines** are created by chaining various binaries to compute image matching relation, solve the Structure from Motion problem (reconstruction, triangulation, localization) and ... OpenMVG is developed in C++ and runs on Android, iOS, Linux, macOS, and Windows. <p align="center"> <img src="./docs/sphinx/rst/openMVG/sfm/pipeline_simple.png"> <p/> **Tutorials** - See [Wiki](https://github.com/openMVG/openMVG/wiki) - [OpenMVG Data Structure](https://github.com/openMVG/openMVG/wiki/OpenMVG-data-structures) - [Using OpenMVG as a library](https://github.com/openMVG/openMVG/blob/develop/BUILD.md#using-openmvg-as-a-third-party-library-dependency-with-cmake) - [Using OpenMVG on your image dataset](https://github.com/openMVG/openMVG/wiki/OpenMVG-on-your-image-dataset) - ... **More information** - [Authors](#authors) - [Contact](#contact) - [Citations](#citations) - [Acknowledgements](#acknowledgements) ## Authors See [Authors](https://github.com/openMVG/openMVG/raw/master/AUTHORS) text file ## Contact openmvg-team[AT]googlegroups.com ## Citations We are recommending citing `OpenMVG` if you are using the whole library or the adequate paper if you use only a submodule `AContrario Ransac [3], AContrario SfM [1], GlobalSfM [4] or Tracks [2]`: ``` @inproceedings{moulon2016openmvg, title={Open{MVG}: Open multiple view geometry}, author={Moulon, Pierre and Monasse, Pascal and Perrot, Romuald and Marlet, Renaud}, booktitle={International Workshop on Reproducible Research in Pattern Recognition}, pages={60--74}, year={2016}, organization={Springer} } ``` [1] Moulon Pierre, Monasse Pascal and Marlet Renaud. ACCV 2012. [Adaptive Structure from Motion with a contrario model estimation.](http://hal.archives-ouvertes.fr/index.php?halsid=1n2qdqiv2a0l5eq7qpos9us752&view_this_doc=hal-00769266&version=1) ``` @inproceedings{Moulon2012, doi = {10.1007/978-3-642-37447-0_20}, year = {2012}, publisher = {Springer Berlin Heidelberg}, pages = {257--270}, author = {Pierre Moulon and Pascal Monasse and Renaud Marlet}, title = {Adaptive Structure from Motion with a~Contrario Model Estimation}, booktitle = {Proceedings of the Asian Computer Vision Conference (ACCV 2012)} } ``` [2] Moulon Pierre and Monasse Pascal. CVMP 2012. [Unordered feature tracking made fast and easy.](http://hal.archives-ouvertes.fr/index.php?halsid=ggdarhl8cv1j6ohq2073eok8q3&view_this_doc=hal-00769267&version=1) ``` @inproceedings{moulon2012unordered, title={Unordered feature tracking made fast and easy}, author={Moulon, Pierre and Monasse, Pascal}, booktitle={CVMP 2012}, pages={1}, year={2012} } ``` [3] Moisan Lionel, Moulon Pierre and Monasse Pascal. IPOL 2012. [Automatic Homographic Registration of a Pair of Images, with A Contrario Elimination of Outliers.](http://dx.doi.org/10.5201/ipol.2012.mmm-oh) ``` @article{moisan2012automatic, title={Automatic homographic registration of a pair of images, with a contrario elimination of outliers}, author={Moisan, Lionel and Moulon, Pierre and Monasse, Pascal}, journal={Image Processing On Line}, volume={2}, pages={56--73}, year={2012} } ``` [4] Moulon Pierre, Monasse Pascal, and Marlet Renaud. ICCV 2013. [Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion.](http://imagine.enpc.fr/~moulonp/publis/iccv2013/index.html) ``` @inproceedings{moulon2013global, title={Global fusion of relative motions for robust, accurate and scalable structure from motion}, author={Moulon, Pierre and Monasse, Pascal and Marlet, Renaud}, booktitle={Proceedings of the IEEE International Conference on Computer Vision}, pages={3248--3255}, year={2013} } ``` ## Acknowledgements openMVG authors would like to thanks libmv authors for providing an inspiring base to design openMVG. Authors also would like to thanks [Mikros Image](http://www.mikrosimage.eu/) and [LIGM-Imagine laboratory](http://imagine.enpc.fr/) for support and authorization to make this library an opensource project. ", Assign "at most 3 tags" to the expected json: {"id":"6111","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"