CyberCode: designing augmented reality environments with visual tags

By J. Rekimoto, Y. Ayatsuka. Designing Augmented Reality Environments, 2000

518 citations recorded by the source corpus.

The CyberCode is a visual tagging system based on a 2D-barcode technology and provides several features not provided by other tagging systems. CyberCode tags can be recognized by the low-cost CMOS or CCD cameras found in more and more mobile devices, and it can also be used to determine the 3D position of the tagged object as well as its ID number. This paper describes examples of augmented reality applications based on CyberCode, and discusses some key characteristics of tagging technologies that must be taken into account when designing augmented reality environments.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/7acd939a05ff4fb7480d21dc38b6a5b06d4e36de

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In Aerospace Engineering

In Computer Vision and Pattern Recognition

In Human-Computer Interaction

Citations in the corpus

ViBand: High-Fidelity Bio-Acoustic Sensing Using Commodity Smartwatch Accelerometers (2016, background): “Most approaches rely on markers [7, 20, 26, 40, 42] or special-purpose tags [28, 57, 58].”
Automatic generation and detection of highly reliable fiducial markers under occlusion (2014, methodology): “Cybercode[18] or VisualCode[19] are derived from 2D-barcodes technology as MaxiCode or QR but can also accurately provide several correspondence points.”
A Survey of Augmented Reality (2015, methodology): “(a) CyberCode [Rekimoto and Ayatsuka, 2000] (b) ARToolKit [Kato et al.”
Speeded up detection of squared fiducial markers (2018, background): “barcodes [26, 27] and even some authors have proposed 73 markers designed using evolutionary algorithms [28].”
PlayAnywhere: a compact interactive tabletop projection-vision system (2005, background): “2D visual codes are often used as tags to identify physical objects in augmented reality scenarios [7, 11, 22, 26].”
ARToolKitPlus for Pose Trackin on Mobile Devices (2007, methodology): “Since then, many similar square tracking libraries have emerged among which the most prominent ones are ARTag [1], Cybercode [7], the SCR marker system [11] and the IGD marker system used in the Arvika project [2].”