Urban Mobile Augmented Reality Method Based on Self Organization of Multi-Modal Data

Authors

Wanxian Guan, 1. Advanced Computing and System Laboratory, Zhejiang University, Hangzhou, 310027, China;;
Wanpeng Li, 2. State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310058, China;
Ge Lin, 2. State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310058, China;
Huagen Wan, 2. State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310058, China;

Abstract

Abstract: In recent years, urban mobile augmented reality has important application prospects. However, with the large-scale scenes in the cities, how to collect and reasonably manage and organize as well as efficiently use the big data sets has become an important issue for the performance of mobile augmented reality. To solve this problem, this paper proposed an urban mobile augmented reality method based on the free organization of multi-modal data, with the application scenario of urban streetscape enhancement. The proposed method takes the multi-modal data as the centric context and aims at how to acquire and process raw data effectively, organize data reasonably, and use data efficiently and accurately. The validity and practicability of the proposed method are verified through the experiment results.

Recommended Citation

Guan, Wanxian; Li, Wanpeng; Lin, Ge; and Wan, Huagen (2020) "Urban Mobile Augmented Reality Method Based on Self Organization of Multi-Modal Data," Journal of System Simulation: Vol. 29: Iss. 11, Article 5.
DOI: 10.16182/j.issn1004731x.joss.201711005
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/5

First Page

2629

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201711005

Last Page

2636

CLC

TP391.9

Recommended Citation

Guan Wanxian, Li Wanpeng, Ge Lin, Wan Huagen. Urban Mobile Augmented Reality Method Based on Self Organization of Multi-Modal Data[J]. Journal of System Simulation, 2017, 29(11): 2629-2636.

DOI

10.16182/j.issn1004731x.joss.201711005