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作 者:张钰[1] 陈靖[2] 王涌天[1,2] 周琪[1]
机构地区:[1]北京理工大学计算机学院,北京100081 [2]北京理工大学光电学院,北京100081
出 处:《计算机应用》2014年第5期1435-1438,1462,共5页journal of Computer Applications
基 金:十二五国家科技重大专项(2012ZX03002004)
摘 要:当增强现实浏览器运行于热点密集区域时,存在数据加载缓慢、图标相互遮挡、热点无法准确定位等问题。针对以上问题,首先提出了加入距离因子的全球定位系统(GPS)坐标映射计算方法,并改进了基于角度投影的坐标计算方式,实现了遮挡图标在手机姿态变化后的偏移区分;其次,为提高用户体验,提出了更符合人类视觉习惯的热点标签焦点化显示方法。同时,针对GPS定位精度低的问题,采用分布式海量场景的视觉识别技术实现场景的高精度定位。When Augmented Reality (AR) browser running in the Point of Interest (POI) dense region, there are some problems like data loading slowly, icon sheltered from the others, low positioning accuracy, etc. To solve above problems, this article proposed a new calculation method of the Global Positioning System (GPS) coordinate mapping which introduced the distance factor, improved the calculating way of coordinates based on the angle projection, and made the icon distinguished effectively after the phone posture changed. Secondly, in order to improve the user experience, a POI labels focus display method which is in more accord with human visual habits was proposed. At the same time, aiming at the low positioning accuracy problem of GPS, the distributed mass scene visual recognition technology was adopted to implement high-precision positioning of scenario.
关 键 词:增强现实浏览器 热点密集区域 图标遮挡 视觉识别 分布式计算
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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