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Link to original content: https://doi.org/10.5220/0012466700003636
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Authors: Emna Ghorbel and Faouzi Ghorbel

Affiliation: CRISTAL Laboratory, GRIFT Research Group ENSI, La Manouba University 2010, La Manouba, Tunisia

Keyword(s): Low Size Dataset, 3D Face Data Augmentation, PointNet++, Surface Morphing.

Abstract: This paper introduces the 3D Face Gravitational Morphing to elevate the performance of Deep Learning models in the realm of 3D facial classification. Addressing the constraints imposed by small-scale datasets, our approach amplifies intra-class variability while maintaining the semantic fidelity of 3D models. This is accomplished by generating shapes within the proximity of the original models in the context of shape space, facilitated by a curvature-based correspondence. The integration of Face Gravitational Morphing into the architecture is demonstrated through its application to the BU3DFE dataset for classification purposes. A comparative analysis reveals the method’s relative performance, representing an initial step towards mitigating limitations in facial classification. Ongoing investigations are underway to refine and extend these promising results.

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Paper citation in several formats:
Ghorbel, E. and Ghorbel, F. (2024). 3D Face Data Augmentation Based on Gravitational Shape Morphing for Intra-Class Richness. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 1294-1299. DOI: 10.5220/0012466700003636

@conference{icaart24,
author={Emna Ghorbel and Faouzi Ghorbel},
title={3D Face Data Augmentation Based on Gravitational Shape Morphing for Intra-Class Richness},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={1294-1299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012466700003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - 3D Face Data Augmentation Based on Gravitational Shape Morphing for Intra-Class Richness
SN - 978-989-758-680-4
IS - 2184-433X
AU - Ghorbel, E.
AU - Ghorbel, F.
PY - 2024
SP - 1294
EP - 1299
DO - 10.5220/0012466700003636
PB - SciTePress

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