Colored visual tags: a robust approach for augmented reality

Dell’Acqua, A.; Ferrari, Marco; Marcon, Marco; Sarti, Augusto; Tubaro, Stefano

doi:10.1109/avss.2005.1577306

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…In particular the mixture of colors and tag structure is very unusual in the general environment and can be easily detected by color filtering and geometric analysis. The proposed tag carries binary information encoded in its structure: in the presented implementation 32-bit code with 12 bits of parity is encoded in the tag but extensions to longer code can easily be generated [62].…”

Section: Discussionmentioning

confidence: 99%

An Analysis of Technology Issues in Mobile Augmented Reality

Pinandita

Mohamad²,

Azman³

et al. 2023

IJCAI

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Augmented reality technology is currently increasingly modern and growing rapidly, this research is a summary of the popularity of augmented reality technology to the present. augmented reality application is increasingly being used in the fields of education, health and even used for the military. other research describes combining augmented reality with other technologies. This study is to discover challenges and opportunities for future augmented reality applications. some studies illustrate that there are still some flaws in augmented reality technology. Hopefully in the future the deficiencies found in previous studies can be corrected.Povzetek: Ta članek obravnava analizo razvoja tehnologije obogatene resničnosti.

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Section: Discussionmentioning

confidence: 99%

An Analysis of Technology Issues in Mobile Augmented Reality

Pinandita

Mohamad²,

Azman³

et al. 2023

IJCAI

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“…Dell’Acqua et al [ 48 ] presented a color tag detection system in 2005. It is one of the first systems that use squared colored markers.…”

Section: Related Workmentioning

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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