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Authors: Clemens Seibold 1 ; Anna Hilsmann 1 and Peter Eisert 1 ; 2

Affiliations: 1 Fraunhofer HHI, Berlin, Germany ; 2 Humboldt University of Berlin, Berlin, Germany

Keyword(s): Face Morphing Attacks, Ghosting Artifact Prevention, Morphed Face Images Dataset.

Abstract: Automatic generation of morphed face images often produces ghosting artifacts due to poorly aligned structures in the input images. Manual processing can mitigate these artifacts. However, this is not feasible for the generation of large datasets, which are required for training and evaluating robust morphing attack detectors. In this paper, we propose a method for automatic prevention of ghosting artifacts based on a pixel-wise alignment during morph generation. We evaluate our proposed method on state-of-the-art detectors and show that our morphs are harder to detect, particularly, when combined with style-transfer-based improvement of low-level image characteristics. Furthermore, we show that our approach does not impair the biometric quality, which is essential for high quality morphs.

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Paper citation in several formats:
Seibold, C.; Hilsmann, A. and Eisert, P. (2024). Towards Better Morphed Face Images Without Ghosting Artifacts. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 272-281. DOI: 10.5220/0012302800003660

@conference{visapp24,
author={Clemens Seibold. and Anna Hilsmann. and Peter Eisert.},
title={Towards Better Morphed Face Images Without Ghosting Artifacts},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={272-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012302800003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Towards Better Morphed Face Images Without Ghosting Artifacts
SN - 978-989-758-679-8
IS - 2184-4321
AU - Seibold, C.
AU - Hilsmann, A.
AU - Eisert, P.
PY - 2024
SP - 272
EP - 281
DO - 10.5220/0012302800003660
PB - SciTePress

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