计算机工程与应用 ›› 2017, Vol. 53 ›› Issue (16): 104-109.DOI: 10.3778/j.issn.1002-8331.1603-0089

• 模式识别与人工智能 • 上一篇    下一篇

基于云存储服务的AR博物馆系统研究

闫兴亚1,崔晓云2,赵  杰2,刘  伟2   

  1. 1.西安邮电大学 数字艺术学院,西安 710061
    2.西安邮电大学 计算机学院,西安 710061
  • 出版日期:2017-08-15 发布日期:2017-08-31

Research on AR museum system based on cloud storage service

YAN Xingya1, CUI Xiaoyun2, ZHAO Jie2, LIU Wei2   

  1. 1.School of Digital Art, Xi’an University of Post & Telecommunications, Xi’an 710061, China
    2.School of Computer Science & Technology, Xi’an University of Post & Telecommunications, Xi’an 710061, China
  • Online:2017-08-15 Published:2017-08-31

摘要: 针对传统AR博物馆中资源不能有效利用、共享和管理的问题,构建了基于云存储服务的AR博物馆系统。该系统采用FAST-SURF算法对特征点进行检测,通过计算机视觉和无线相结合的方式进行跟踪匹配,同时利用云存储服务技术对博物馆资源进行管理,最终实现虚实融合显示。实例测试表明,与传统AR博物馆相比,该系统能够有效管理博物馆资源,且检测速度快、定位精度较高、匹配性好,特别是在实时性和稳定性方面有明显的优势。结果表明,借助云存储服务技术对AR博物馆资源进行管理的系统方案是可行的,可以为博物馆的研究提供新的技术支持。

关键词: 增强现实, 云存储服务技术, 资源管理, AR博物馆

Abstract: In view of the problem that the resources in the traditional AR museum can’t be used, shared and managed effectively, the AR museum system based on cloud storage service is built. In the system, the FAST-SURF algorithm is used to test the feature points. The way of the combination of computer vision and wireless is also used to track and match. Besides, cloud storage service technology is used to manage the museum resources. At last, the fusion of the virtual and real is achieved. Compared with the traditional AR museum, the example test shows that the system can not only manage museum resources effectively, but also has fast inspection speed, high positioning accuracy, good matching, and especially has obvious advantages in real-time and stability. The results indicate that it is feasible to use the cloud storage service technology to manage the AR museum resources, and can provide new technical support for the research of the museum.

Key words: augmented reality, cloud storage service technology, resource manage, AR museum