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An Efficient Mobile AR Navigation System Using Polygon Approximation Based Data Acquisition

  • Ching-Sheng Wang
  • Wei-Tsung Su
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 264)

Abstract

In recent years, most mobile navigation systems adopt augmented reality (AR) to provide location-aware and interactive multimedia contents for visitors’ reference. Most AR navigation systems support only one target recognition and then only acquire corresponding contents from data servers for reducing storage and network costs. With the increase of multimedia navigation information, the performance of data acquisition for resource-constrained mobile devices must be improved for better user experience. In this paper, we propose not only the multi-target AR recognition mechanism but also the polygon approximation based data acquisition to improve performance of mobile AR navigation system by accelerating spatial data acquisition. In the proposed approach, the query efficiency and search precision can be well controlled according to the requirements of different applications.

Keywords

Augmented reality Mobile navigation K-means clustering Polygon approximation Spatial data acquisition 

Notes

Acknowledgment

The authors would like to thank the Ministry of Science and Technology of the Republic of China, Taiwan for financially supporting this research under Contract No. MOST 107-2221-E-156-004 and MOST 107-2221-E-156-001-MY2. Besides, the author would like to acknowledge Shih-Han Chen and Shih-Hui Hung, for their assistance in making this system possible.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Department of Computer Science and Information EngineeringAletheia UniversityNew Taipei CityTaiwan

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