Type of Publication

Journal Articles

Date:

9 /

2021

Status

Published

DOI:

10.3390/app11198821

Card3DFace – An Application to Enhance 3D Visual Validation in ID Cards and Travel Documents

Featured in:

Applied Sciences, 2021

Authors:

Leandro Dihl, Leandro Cruz and Nuno Gonçalves

Abstract

The identification of a person is a natural way to gain access to information or places. A face image is an essential element of visual validation. In this paper, we present the Card3DFace application, which captures a single-shot image of a person’s face. After reconstructing the 3D model of the head, the application generates several images from different perspectives, which, when printed on a card with a layer of lenticular lenses, produce a 3D visualization effect of the face. The image acquisition is achieved with a regular consumer 3D camera, either using plenoptic, stereo or time-of-flight technologies. This procedure aims to assist and improve the human visual recognition of ID cards and travel documents through an affordable and fast process while simultaneously increasing their security level. The whole system pipeline is analyzed and detailed in this paper. The results of the experiments performed with polycarbonate ID cards show that this end-to-end system is able to produce cards with realistic 3D visualization effects for humans.

Citation
Leandro Dihl, Leandro Cruz and Nuno Gonçalves (2021). Card3DFace – An Application to Enhance 3D Visual Validation in ID Cards and Travel Documents. Applied Sciences, 11(19), 8821. DOI: 10.3390/app11198821

Related Content

Researcher Coordinator, VIS TEAM Leader
Post-Doc Researcher
Post-Doc Researcher
No tagged content to show
No tagged content to show
No tagged content to show

RECENT PUBLICATIONS

MorFacing: A Benchmark for Estimation Face Recognition Robustness to Face Morphing Attacks

Authors: Iurii Medvedev and Nuno Gonçalves
Featured in: IEEE International Joint Conference on Biometrics (IJCB 2024)

Face Liveness Detection Competition (LivDet-Face)

Authors: Lambert Igene, Afzal Hossain, Stephanie Schuckers, Mohammad Zahir Uddin Chowdhury, Humaira Rezaie, Ayden Rollins, Jesse Dykes, Rahul Vijaykumar, Sebastien Marcel, Juan Tapia, Carlos Aravena, Daniel Schulz, Nima Karimian and Anafsheh Adami, Diogo Nunes, João Marcos, Nuno Gonçalves, Lovro Sikošek, Borut Batagelj, Nima Schei, David Pabon, Manuela Tiedemann, Vasiliy Pryadchenko, Aleksandr Alenin, Alhasan Alkhaddour, Anton Pimenov, Artem Tregubov, Igor Avdonin, Maxim Lazantsev and Mikhail Pozigun
Featured in: IEEE International Joint Conference on Biometrics Competitions, 2024

Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction

Authors: Zihan Jiang, Yiqun Ma, Bingyu Shi, Xin Lu, Jian Xing, Nuno Gonçalves and Bo Jin
Featured in: IEEE Transactions on Artificial Intelligence

suggested news

Laser engraving of precious metal artifacts (UniqueMark® deterministic...
UniqueMark® and UniQode® Glitter patent published
Paper about protecting facial recognition systems against morphing...

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