Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications

Yang, Zhibo; Xu, Huanle; Deng, Jianyuan; Loy, Chen Change; Lau, Wing Cheong

doi:10.1109/tip.2018.2855419

Cited by 28 publications

(13 citation statements)

References 25 publications

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“…Since the main target applications of our system are augmented reality applications, it very important that our system allows markers of different colors. Support for other than grayscale colors is limited in the QR code system [ 84 ]. That means that our system can provide better blending with the surrounding environment.…”

Section: Discussionmentioning

confidence: 99%

Designing a Simple Fiducial Marker for Localization in Spatial Scenes Using Neural Networks

Kostak

Slaby

2021

Sensors

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The paper describes the process of designing a simple fiducial marker. The marker is meant for use in augmented reality applications. Unlike other systems, it does not encode any information, but it can be used for obtaining the position, rotation, relative size, and projective transformation. Also, the system works well with motion blur and is resistant to the marker’s imperfections, which could theoretically be drawn only by hand. Previous systems put constraints on colors that need to be used to form the marker. The proposed system works with any saturated color, leading to better blending with the surrounding environment. The marker’s final shape is a rectangular area of a solid color with three lines of a different color going from the center to three corners of the rectangle. Precise detection can be achieved using neural networks, given that the training set is very varied and well designed. A detailed literature review was performed, and no such system was found. Therefore, the proposed design is novel for localization in the spatial scene. The testing proved that the system works well both indoor and outdoor, and the detections are precise.

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Section: Discussionmentioning

confidence: 99%

Designing a Simple Fiducial Marker for Localization in Spatial Scenes Using Neural Networks

Kostak

Slaby

2021

Sensors

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“…The maximum storage capacity for a standard QR code is 2953 bytes [29]. If higher storage capacity is needed, alternative technologies such as multi-layered QR codes [30,35] and Microsoft High Capacity Color Barcode (HCCB) [31] are available.…”

Section: Qr Codesmentioning

confidence: 99%

SecureABC: Secure AntiBody Certificates for COVID-19

Hicks¹,

Butler²,

Maple³

et al. 2020

Preprint

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has resulted in unprecedented social distancing policies being enforced worldwide. As governments urgently seek to reopen society, there is a demand for technologies that may alleviate the requirement for social distancing whilst also protecting healthcare services and maintaining human and civil rights. In this work we explore the controversial technique of so-called immunity passports and present SecureABC: a decentralised, privacy-preserving system for issuing and verifying antibody certificates. We consider the implications of immunity passport systems, develop a set of general principles and security requirements for their deployment and show that these may be satisfied in practice.

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“…For higher throughput, several color barcode schemes have been proposed. For instance, the high capacity color barcode, 20 COBRA, 21 Focus, 22 CodeCube, 23 LSVM‐CMI, 24 and Rainbar, 25 Pixnet, 26 The SVBLC 27 …”

Section: Introductionmentioning

confidence: 99%

MobiScan: An enhanced invisible screen‐camera communication system for IoT applications

Xiao

Liu

et al. 2020

Trans Emerging Tel Tech

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In recent years, dynamic and invisible screen‐camera short‐range communication for IoT devices have become a popular research field due to its superior user experience and no‐extra hardware required. However, most existing screen‐camera communication systems suffer from poor data security, high computational overhead, and limited capture angle, which make them infeasible in practice. In this work, we propose MobiScan, a dynamic and invisible screen‐to‐camera communication system that is able to ensure data security, real‐time communication, and flexible capture angle. MobiScan is composed of two parts: a novel fast frame correction scheme and a multilevel data pattern scheme to address the above problems. The fast frame correction scheme proposes a novel frame correct approach that utilizes the sensor data on the smartphone to correct the captured frame by reproducing the relationship between positions of the screen and the smartphone. Through this method, the scheme can save frame correction time without calculating frame content to identify the degree of deformation. The multilevel data pattern scheme protects the data privacy by sending the classified information to targeted users, which can reduce the time overhead and extend the application scenario by redesigning the data structure. The experimental results show that for flexible capture angle problem, the maximum capture angle is 180° in the rotate view and 60° in the side view, bottom view, and overlook view. For real‐time communication problem, the time overhead is reduced by 90% in the procedure of the frame correction. In the data decoding process, the time overhead is reduced by 10%. MobiScan enables a flexible capture angle on the PC platform for secure and real‐time communication.

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Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications

Cited by 28 publications

References 25 publications

Designing a Simple Fiducial Marker for Localization in Spatial Scenes Using Neural Networks

Designing a Simple Fiducial Marker for Localization in Spatial Scenes Using Neural Networks

SecureABC: Secure AntiBody Certificates for COVID-19

MobiScan: An enhanced invisible screen‐camera communication system for IoT applications

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