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Demo for paper 'Consistent ZoomOut: Efficient Spectral Map Synchronization' (SGP 2020).

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Consistent ZoomOut

This is a demo of the method described in paper 'Consistent ZoomOut: Efficient Spectral Map Synchronization' (SGP 2020). In particular, we consider the Fourleg class (20 shapes) from SHREC07 dataset. The initial maps are computed via Blended Intrinsic Maps (BIM), then we apply our Consistent ZoomOut for map synchronization.

Dependency

The implementation depends on CVX.

Instruction

Please first unzip the files (meshes and initial maps) in './data/', then simply run 'demo.m' in the main folder. In the end, you can visualize and compare the initial maps and our results.

Contact

Please let us know (rqhuang88 At gmail Dot com) if you have any question about this demo.

Citation

If you use this code, please cite our paper:)

@inproceedings{CZO_SGP20,
    title={Consistent ZoomOut: Efficient Spectral Map Synchronization}, 
    author={Ruqi Huang and Jing Ren and Peter Wonka and Maks Ovsjanikov},
    booktitle={Proc. SGP},
    volume={39},
    name={5},
    year={2020},
}

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Demo for paper 'Consistent ZoomOut: Efficient Spectral Map Synchronization' (SGP 2020).

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