Next Article in Journal
Synthesis of Aromatic and Aliphatic N-Heterocyclic Salts and Their Application as Organic Electrolyte Supporters in Electrochemical Capacitor
Previous Article in Journal
Autonomous Penetration Testing Based on Improved Deep Q-Network
Article

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

by 1,*,†,‡, 1,†,‡ and 1,2,†,‡
1
Institute of Systems and Robotics, University of Coimbra, 3030-194 Coimbra, Portugal
2
Portuguese Mint and Official Printing Office (INCM), 1000-042 Lisbon, Portugal
*
Author to whom correspondence should be addressed.
Current address: R. Silvio Lima, 3030-194 Coimbra, Portugal.
These authors contributed equally to this work.
Academic Editor: Paraskevi Nomikou
Appl. Sci. 2021, 11(19), 8821; https://doi.org/10.3390/app11198821
Received: 3 July 2021 / Revised: 15 September 2021 / Accepted: 15 September 2021 / Published: 23 September 2021
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. View Full-Text
Keywords: 3D reconstruction; 3D face visualization; shape and surface 3D modelling; lenticular lenses 3D reconstruction; 3D face visualization; shape and surface 3D modelling; lenticular lenses
Show Figures

Figure 1

MDPI and ACS Style

Dihl, L.; Cruz, L.; Gonçalves, N. Card3DFace—An Application to Enhance 3D Visual Validation in ID Cards and Travel Documents. Appl. Sci. 2021, 11, 8821. https://doi.org/10.3390/app11198821

AMA Style

Dihl L, Cruz L, Gonçalves N. Card3DFace—An Application to Enhance 3D Visual Validation in ID Cards and Travel Documents. Applied Sciences. 2021; 11(19):8821. https://doi.org/10.3390/app11198821

Chicago/Turabian Style

Dihl, Leandro, Leandro Cruz, and Nuno Gonçalves. 2021. "Card3DFace—An Application to Enhance 3D Visual Validation in ID Cards and Travel Documents" Applied Sciences 11, no. 19: 8821. https://doi.org/10.3390/app11198821

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop