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Copy file name to clipboardExpand all lines: README.md
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CCTag library
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===================
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[](https://bestpractices.coreinfrastructure.org/projects/3989)[](https://www.codacy.com/manual/alicevision/CCTag?utm_source=github.com&utm_medium=referral&utm_content=alicevision/CCTag&utm_campaign=Badge_Grade)
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# CCTag library
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[](https://bestpractices.coreinfrastructure.org/projects/3989)
Detection of CCTag markers made up of concentric circles. Implementations in both CPU and GPU.
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The library is the implementation of the paper:
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The library is the implementation of the paper:
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* Lilian Calvet, Pierre Gurdjos, Carsten Griwodz, Simone Gasparini. **Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions.** In: *Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR 2016)*, Las Vegas, E.-U., IEEE Computer Society, p. 562-570, June 2016. https://doi.org/10.1109/CVPR.2016.67
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* Lilian Calvet, Pierre Gurdjos, Carsten Griwodz, Simone Gasparini. **Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions.** In: *Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR 2016)*, Las Vegas, E.-U., IEEE Computer Society, p. 562-570, June 2016. <https://doi.org/10.1109/CVPR.2016.67>
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If you want to cite this work in your publication, please use the following
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If you want to cite this work in your publication, please use the following
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```latex
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@inproceedings{calvet2016Detection,
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}
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```
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Marker library
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---------
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## Marker library
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Markers to print are located [here](markersToPrint).
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Check your graphic card CUDA compatibility [here](https://github.com/tpruvot/ccminer/wiki/Compatibility).
This has been developed in the context of the European project [POPART](https://alicevision.org/popart/) founded by European Union’s Horizon 2020 research and innovation programme under grant agreement No 644874.
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