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Authors: Floris De Feyter 1 ; Bram Claes 2 and Toon Goedemé 1

Affiliations: 1 EAVISE—PSI—ESAT, KU Leuven, Sint-Katelijne-Waver, Belgium ; 2 Antwerp Labs, Antwerp, Belgium

Keyword(s): Diamond Identification, Rotational Equivariance, Polar Warping.

Abstract: To guarantee integrity when trading diamonds, a certified company can grade the diamonds and give them a unique ID. While this is often done for high-valued diamonds, it is economically less interesting to do this for lower-valued diamonds. While integrity could be checked manually as well, this involves a high labour cost. Instead, we present a computer vision-based technique for diamond identification. We propose to apply a polar transformation to the diamond image before passing the image to a CNN. This makes the network equivariant to rotations of the diamond. With this set-up, our best model achieves an mAP of 100% under a stringent evaluation regime. Moreover, we provide a custom implementation of the polar warp that is multiple orders of magnitude faster than the frequently used implementation of OpenCV.

CC BY-NC-ND 4.0

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Paper citation in several formats:
De Feyter, F.; Claes, B. and Goedemé, T. (2023). Rotation Equivariance for Diamond Identification. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 115-123. DOI: 10.5220/0011658400003417

@conference{visapp23,
author={Floris {De Feyter}. and Bram Claes. and Toon Goedemé.},
title={Rotation Equivariance for Diamond Identification},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP},
year={2023},
pages={115-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011658400003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP
TI - Rotation Equivariance for Diamond Identification
SN - 978-989-758-634-7
IS - 2184-4321
AU - De Feyter, F.
AU - Claes, B.
AU - Goedemé, T.
PY - 2023
SP - 115
EP - 123
DO - 10.5220/0011658400003417
PB - SciTePress