Type of Publication

Thesis

Date:

10 /

2020

Status

Published

Accuracy Analysis of Region-Based 2D and 3D Face Recognition – Comparasion of Nasal and Mask-Wearing Ocular Regions

Featured in:

MD Thesis

Authors:

Rui Barbosa

Abstract

The evolution of Facial Recognition (FR) systems that has occurred in recenttimes was largely consequence of the evolution in the available technology allowing to include new 3 dimensions analysis combined with the 2 dimensions methodsalready developed in FR systems, combined with the development of new and improved machine learning algorithms.Despite FR systems latter achievements, recent habits changes such as the generalization of face covering, as a consequence of COVID-19 pandemic present anew challenge to FR algorithms. The majority of the methods have not been testedin this new reality making an updated survey over FR fundamental to understand ifthey can be reused or appear obsolete.In this work a classic feature extractor algorithm developed by Emambakhsh & Evans et al. [1] based on spherical patches working combined with a designed and personalized Neural Network (NN) is applied with the objective to demonstrate the importance of the nasal region for 3D FR algorithms, as stated in the article.In order to adapt the research to a new reality, tests were preformed to prove thatalgorithms focused on the ocular region reach similar values of success when compared with the nasal region in order to overcome the nose occlusion consequence of using face coverings due to the COVID pandemic. A second version of the FR system built for the first objective demonstration was implemented having been demonstrated that these effectively have comparable accuracy in the 3D domain.

Citation
Rui Barbosa (2020), Accuracy Analysis of Region-Based 2D and 3D Face Recognition – Comparasion of Nasal and Mask-Wearing Ocular Regions. MD Thesis. University of Coimbra, 2020.

Related Content

Researcher Coordinator, VIS TEAM Leader
Master Student
No tagged content to show
No tagged content to show
No tagged content to show

RECENT PUBLICATIONS

VOIDFace: Towards an Effective Face Training Data Storage and Protection with Right to be Forgotten Property

Authors: Ajnas Muhammed; Iurii Medvedev; Nuno Gonçalves
Featured in: IEEE International Joint Conference on Biometrics (IJCB 2025)

Análise de marcadores biométricos e sinais vitais através de visão artificial: Ritmo Cardíaco

Authors: Rodrigo Rosado Gonçalves
Featured in: Bsc Thesis

How to Evaluate a Biometric Facial Image

Authors: Diana Gonçalves D’Amil
Featured in: Bsc Thesis

suggested news

Paper accepted to IJCB 2025
Prof. Nuno and VIS Team successfully organizes IbPRIA...
Four papers presented @ IbPRIA 2025

RECENT PROJECTS

FACING2 – Face Image Understanding
VISUAL-ID – Unique Visual Identities in Graphics, Images and Faces
UniqueMark

Institute of Systems and Robotics Department of Electrical and Computers Engineering University of Coimbra