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https://github.com/lmb-freiburg/orion

ORION: Orientation-boosted Voxel Nets for 3D Object Recognition
https://github.com/lmb-freiburg/orion

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ORION: Orientation-boosted Voxel Nets for 3D Object Recognition

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README

        

# ORION
Here you can find the code for the BMVC 2017 version of "Orientation-boosted Voxel Nets for 3D Object Recognition", a.k.a ORION.

![teaser](https://lmb.informatik.uni-freiburg.de/Publications/2017/SZB17a/teaser_w.png)

If you use this code for research please cite:

@InProceedings{SZB17a,
author = "N. Sedaghat and M. Zolfaghari and E. Amiri and T. Brox",
title = "Orientation-boosted voxel nets for 3D object recognition",
booktitle = "British Machine Vision Conference (BMVC)",
month = " ",
year = "2017",
url = "http://lmb.informatik.uni-freiburg.de/Publications/2017/SZB17a"
}

Caffe Installation
------------------

Please download, build and install the version of caffe introduced [here](https://lmb.informatik.uni-freiburg.de/resources/opensource/unet.en.html) -- we use it for the provided 3D augmentation capabilities.

Modelnet40 Aligned Objects
---------------------------
Modelnet40 aligned objects can be downloaded from the links below.
If you use this modified dataset, please also cite the following work from which we borrowed techniques for the auto-alignment:

@InProceedings{SB15,
author = "N. Sedaghat and T. Brox",
title = "Unsupervised Generation of a Viewpoint Annotated Car Dataset from Videos",
booktitle = "IEEE International Conference on Computer Vision (ICCV)",
year = "2015",
url = "http://lmb.informatik.uni-freiburg.de/Publications/2015/SB15"
}

[Manually-aligned Modelnet40](https://lmb.informatik.uni-freiburg.de/resources/datasets/ORION/modelnet40_manually_aligned.tar)

[Auto-aligned Modelnet40](https://lmb.informatik.uni-freiburg.de/resources/datasets/ORION/modelnet40_auto_aligned.tar)

Auto-alignment code will be published soon.