Finding Similar non-Collapsed Faces to Collapsed Faces Using Deep Learning Face Recognition

Ashwinee Mehta, Maged Abdelaal, Moamen Sheba, Nic Herndon

2023

Abstract

Face recognition is the ability to recognize a person’s face in a digital image. Common uses of face recognition include identity verification, automatically organizing raw photo libraries by person, tracking a specific person, counting unique people and finding people with similar appearances. However, there is no systematic and accurate study for finding a similar non-collapsed face to a given collapsed face. In this paper we focus on the use case of finding people with similar appearances that will help us to find a similar face without a collapse to a collapsed face for dental reconstruction. We used Python’s Open-CV for age and gender classification and face recognition for finding similar faces. Our results provide a set of similar images that can be used for reconstructing the collapsed faces for creating dentures. Thus with the help of a similar non-collapsed face, we can reconstruct a collapsed face for designing effective dentures.

Paper Citation

in Harvard Style

Mehta A., Abdelaal M., Sheba M. and Herndon N. (2023). Finding Similar non-Collapsed Faces to Collapsed Faces Using Deep Learning Face Recognition. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 897-904. DOI: 10.5220/0011696900003417

in Bibtex Style

@conference{visapp23,
author={Ashwinee Mehta and Maged Abdelaal and Moamen Sheba and Nic Herndon},
title={Finding Similar non-Collapsed Faces to Collapsed Faces Using Deep Learning Face Recognition},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={897-904},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011696900003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Finding Similar non-Collapsed Faces to Collapsed Faces Using Deep Learning Face Recognition
SN - 978-989-758-634-7
AU - Mehta A.
AU - Abdelaal M.
AU - Sheba M.
AU - Herndon N.
PY - 2023
SP - 897
EP - 904
DO - 10.5220/0011696900003417
PB - SciTePress