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1. 北京理工大学光电学院,北京,100081
2. 北京理工大学计算机学院,北京,100081
Published:2014
移动端阅览
ZHANG Yun-chao, CHEN Jing, WANG Yong-tian. City-Scale Location Services Based on Mobile Augmented Reality[J]. Acta Electronica Sinica, 2014, 42(8): 1503-1508.
ZHANG Yun-chao, CHEN Jing, WANG Yong-tian. City-Scale Location Services Based on Mobile Augmented Reality[J]. Acta Electronica Sinica, 2014, 42(8): 1503-1508. DOI: 10.3969/j.issn.0372-2112.2014.08.007.
基于位置服务的移动增强现实以虚实融合的方式呈现用户周围环境.本文采用C/S架构实现基于视觉的移动增强现实系统,解决手机处理速度以及存储空间不足的问题.服务器端采用基于分布式聚类的词汇树算法进行城市级海量场景识别;手机端采用BRISK特征提取与光流算法相结合的6自由度跟踪注册方式.本文在UKbench以及SUN397数据库进行实验测试,实验结果表明,文中提出的分布式聚类算法能快速构建词汇树并有效解决单PC计算内存瓶颈;移动终端通过BRISK特征提取以及并行流水线设计,系统跟踪实时性良好.
Mobile Augmented Reality system presents surroundings in a way of virtual-real fusion for location-based services.This paper employs C/S architecture for vision-based mobile AR system
which solves the problem of processing speed and storage space on mobile phone.Vocabulary tree algorithm which is based on distributed clustering algorithm is used for city-scale scene recognition on the server.BRISK feature and optical flow algorithm is used in combination for visual tracking on mobile devices.Experimental results on UKbench and SUN397 show that the proposed distributed clustering algorithm can quickly build vocabulary tree and solve the limitations of memory.Mobile terminals keep real-time tracking through extraction of BRISK feature and design of parallel pipeline.
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