一种基于多模态数据自组织的城市移动增强现实方法

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

城市移动增强现实近年来受到研究界和应用界的高度关注。然而面对城市大场景,如何采集数据、合理管理和组织数据、以及高效利用数据成为了制约移动增强现实系统性能的重要问题。以城市街景增强为应用背景,提出一种基于多模态数据自组织的城市移动增强现实方法。通过以面向移动增强现实系统的多模态数据为中心,从数据采集、数据组织、数据使用三方面出发,研究如何有效获取和处理原始数据、合理组织数据、高效准确使用数据。实验结果验证了所提出方法的有效性和实用性。

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.