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Realization of Mobile Augmented Reality System Based on Image Recognition

by Shanshan Liu, Yukun Cao, Lu Gao, Jian Xu, Wu Zeng

1 Wuhan Polytechnic University, Wuhan, 430023, China
2 Nanjing Crystal Technology Co., Ltd., Nanjing, 210039, China

* Corresponding Author: Jian Xu. Email: email

Journal of Information Hiding and Privacy Protection 2021, 3(2), 55-59. https://doi.org/10.32604/jihpp.2021.017254

Abstract

With the development of computation technology, the augmented reality (AR) is widely applied in many fields as well as the image recognition. However, the AR application on mobile platform is not developed enough in the past decades due to the capability of the mobile processors. In recent years, the performance of mobile processors has changed rapidly, which makes it comparable to the desktop processors. This paper proposed and realized an AR system to be used on the Android mobile platform based on the image recognition through EasyAR engine and Unity 3D development tools. In this system, the image recognition could be done locally and/or using cloud recognition. Test results show that the cloud-based recognition is more efficient and accuracy than the local recognition for the mobile AR when there are more images to be recognized at the same time.

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APA Style
Liu, S., Cao, Y., Gao, L., Xu, J., Zeng, W. (2021). Realization of mobile augmented reality system based on image recognition. Journal of Information Hiding and Privacy Protection, 3(2), 55-59. https://doi.org/10.32604/jihpp.2021.017254
Vancouver Style
Liu S, Cao Y, Gao L, Xu J, Zeng W. Realization of mobile augmented reality system based on image recognition. J Inf Hiding Privacy Protection . 2021;3(2):55-59 https://doi.org/10.32604/jihpp.2021.017254
IEEE Style
S. Liu, Y. Cao, L. Gao, J. Xu, and W. Zeng, “Realization of Mobile Augmented Reality System Based on Image Recognition,” J. Inf. Hiding Privacy Protection , vol. 3, no. 2, pp. 55-59, 2021. https://doi.org/10.32604/jihpp.2021.017254



cc Copyright © 2021 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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