Research Article
An Efficient Mobile AR Navigation System Using Polygon Approximation Based Data Acquisition
@INPROCEEDINGS{10.1007/978-3-030-06158-6_22, author={Ching-Sheng Wang and Wei-Tsung Su}, title={An Efficient Mobile AR Navigation System Using Polygon Approximation Based Data Acquisition}, proceedings={Wireless Internet. 11th EAI International Conference, WiCON 2018, Taipei, Taiwan, October 15-16, 2018, Proceedings}, proceedings_a={WICON}, year={2019}, month={1}, keywords={Augmented reality Mobile navigation -means clustering Polygon approximation Spatial data acquisition}, doi={10.1007/978-3-030-06158-6_22} }- Ching-Sheng Wang
Wei-Tsung Su
Year: 2019
An Efficient Mobile AR Navigation System Using Polygon Approximation Based Data Acquisition
WICON
Springer
DOI: 10.1007/978-3-030-06158-6_22
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.
