移动增强现实大范围定位与追踪关键技术研究

项目名称： 移动增强现实大范围定位与追踪关键技术研究

项目编号： No.61272202

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 管涛

作者单位： 华中科技大学

项目金额： 80万元

中文摘要： 大范围场景下的定位与追踪是移动增强现实（简称移动AR）所面临的一项亟待解决的关键问题。然而,当前诸如智能手机之类的移动计算设备普遍存在资源受限问题，并不能很好的满足移动AR大范围定位与追踪对运算能力以及存储空间的需求。对此，本课题将通过深入分析基于子场景的大范围场景表达对移动AR定位与追踪性能改变的机制，构建解决资源受限模式下的移动AR大范围定位与追踪问题的理论和方法体系。在此基础之上，拟研究图像视觉描述与量化编码、视觉与地理位置信息相结合的搜索区域划分与索引构建、基于快速近似最近邻搜索的海量图像检索以及移动设备摄像机位姿快速初始化与追踪等相关问题的解决方案。本课题还将通过构建原型系统并结合具体的项目来验证所提出的理论框架与解决方案的正确性和有效性。本项目的实施对于移动AR的实现、发展以及广泛应用具有重要的理论和现实意义。

中文关键词： 移动增强现实；计算机视觉；量化编码；；

英文摘要： Equipped with high-resolution camera and color displays, mobile phones have evolved into a powerful platform for Augmented Reality (AR) applications. Wide area location recognition and camera tracking are the two key problems currently limit the usability of Mobile Augmented Reality (Mobile AR) systems. Compared to the desktop computers, the phones' small size and lightweight make them extremely portable. Thus, the requirements of wide area location recognition and camera tracking are more urgent for mobile AR than for traditional PC based AR applications. However, the above problems are far from being solved because neither computing power nor memory space of the resource constrained mobile phones can well satisfy the requirements of the wide area on-device mobile AR applications. In view of this, we will make following contributions to solve the above difficulties. Firstly, we propose to partition the whole scene into several sub-maps according to the user's preference or the requirements of the mobile AR applications. Since the built sub maps are geometrically independent to each other, we need only to load the map currently being tracked instead of the global map into the memory to realize wide area mobile AR. So, the multiple maps method is more flexible in memory management and especially suitable fo

英文关键词： mobile AR；computer vision；coding；；