3D Face Recognition on Point Cloud Data - An Approaching based on Curvature Map Projection using Low Resolution Devices

Luis Felipe de Melo Nunes, Caue Zaghetto, Flavio de Barros Vidal

2018

Abstract

Facial recognition is the most natural and common form of biometrics, routinely used by humans and one of the most promising areas in biometrics research. The majority of traditional researches and commercial use of facial recognition systems are focused on methods that explores 2D (two-dimensional) images of human faces. All of them are based on features extraction that does not use any 3D shape information from the faces, especially with regard to depth. This paper presents a method based on Point Cloud and Curvature Map Projection to perform a 3D face recognition. The achieved results are presented and divided in two test scenarios, composed by a biometric evaluation analysis applying the Equal Error Rate score, Receiver Operating Characteristic and an accuracy comparison with other related works. The proposed work presents an accuracy of about 98.92%, allowing it to be applied for 3D face recognition tasks.

Paper Citation

in Harvard Style

Felipe de Melo Nunes L., Zaghetto C. and de Barros Vidal F. (2018). 3D Face Recognition on Point Cloud Data - An Approaching based on Curvature Map Projection using Low Resolution Devices.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-321-6, pages 266-273. DOI: 10.5220/0006843702660273

in Bibtex Style

@conference{icinco18,
author={Luis Felipe de Melo Nunes and Caue Zaghetto and Flavio de Barros Vidal},
title={3D Face Recognition on Point Cloud Data - An Approaching based on Curvature Map Projection using Low Resolution Devices},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2018},
pages={266-273},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006843702660273},
isbn={978-989-758-321-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - 3D Face Recognition on Point Cloud Data - An Approaching based on Curvature Map Projection using Low Resolution Devices
SN - 978-989-758-321-6
AU - Felipe de Melo Nunes L.
AU - Zaghetto C.
AU - de Barros Vidal F.
PY - 2018
SP - 266
EP - 273
DO - 10.5220/0006843702660273