Type of Publication

Conference Papers

Date:

12 /

2018

Status

Published

DOI:

10.1109/AIVR.2018.00036

Graphic Code: a New Machine Readable Approach

Featured in:

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, Taichung, Taiwan

Authors:

Leandro Cruz, Bruno Patrão and Nuno Gonçalves

Abstract

Machine Readable Codes have been used for several purposes. Approaches like UPC [1] and QR Code [2] can be seen everywhere. Recently, it has emerged a new MRC [3], [4] able to combine the communication power of classical methods to a meaningful improvement on aesthetics and data capacity. This method is named Graphic Code1. Although it has been used in previous researches, this name was firstly used publicly at Security Document World Conference and Exhibition, 2018.
Graphic Code has two major advantages over classical MRCs: aesthetics and larger coding capacity. It opens new possibilities for several purposes. It can be used for identification, tracking (using a specific border), and transferring of content to the application. In this paper, we will present how graphic code can be used for industry applications, emphasizing its uses on Augmented Reality (AR). In the first context, it is already being used for creating labels and validation stamps. And in the second context, it can be used as a marker (identification and tracking) and to code parameters for an AR application such as large texts, meshes of a 3D model, an image, a drawing, or other complex controls.

Citation
Cruz, L., Patrão, B., & Gonçalves, N. (2018, December). Graphic code: A new machine readable approach. In 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) (pp. 169-172). IEEE. DOI: 10.1109/AIVR.2018.00036

Related Content

Researcher Coordinator, VIS TEAM Leader
Post-Doc Researcher
Researcher
No tagged content to show
Project Completed
VISUAL-ID – Unique Visual Identities in Graphics, Images and Faces
The Visual-ID project emerge in the context of the partnersh...
Project Completed
UniQode
Este projeto é a continuação do projeto TrustStamp, alargand...
Project Completed
TrustStamp
This project intends to develop verification tools to be app...

Video_AIVR 2018

RECENT PUBLICATIONS

StylePuncher: encoding a hidden QR code into images

Authors: Farhad Shadmand; Luiz Schirmer; Nuno Gonçalves
Featured in: 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM'25)

RiemStega: Covariance-based loss for print-proof transmission of data in images

Authors: Aniana Cruz; Guilherme Schardong; Luiz Schirmer; João Marcos, Farhad Shadmand; Nuno Gonçalves
Featured in: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025

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)

suggested news

Nuno Gonçalves debates AI impact at "Café com...
Nuno Gonçalves participates in the conference-debate "IA -...
Laser engraving of precious metal artifacts (UniqueMark® deterministic...

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