周东波, 秦政, 陈言言, 于杰. 通视受限下视锥剖分的移动增强现实注册策略[J]. 武汉大学学报 ( 信息科学版), 2018, 43(8): 1178-1184. DOI: 10.13203/j.whugis20170097
引用本文: 周东波, 秦政, 陈言言, 于杰. 通视受限下视锥剖分的移动增强现实注册策略[J]. 武汉大学学报 ( 信息科学版), 2018, 43(8): 1178-1184. DOI: 10.13203/j.whugis20170097
ZHOU Dongbo, QIN Zheng, CHEN Yanyan, YU Jie. Registration Strategy for Mobile Augmented Reality Based on Cone-View Partition Under the Restricted Visibility Environment[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8): 1178-1184. DOI: 10.13203/j.whugis20170097
Citation: ZHOU Dongbo, QIN Zheng, CHEN Yanyan, YU Jie. Registration Strategy for Mobile Augmented Reality Based on Cone-View Partition Under the Restricted Visibility Environment[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8): 1178-1184. DOI: 10.13203/j.whugis20170097

通视受限下视锥剖分的移动增强现实注册策略

Registration Strategy for Mobile Augmented Reality Based on Cone-View Partition Under the Restricted Visibility Environment

  • 摘要: 针对近地视角虚实融合的户外移动增强现实导览与导航应用需求十分迫切,但受限于复杂的户外环境、通视条件以及移动设备的计算和存储能力,存在正面、小角度、近距离识别时无法正常识别目标的现象。而过远的识别距离与过大的识别角度亦影响虚实融合显示效果。首先分析了基于影像模板识别方案下典型建筑数量少而全的注册视点获取策略,然后针对遮挡与地形通视受限条件,提出不同建筑类型基于视锥剖分的户外移动增强现实注册策略,并将此策略应用到移动增强现实应用开发中,对校园典型楼馆进行应用实验,达到了预期效果。

     

    Abstract: It is more popular to develop the navigation applications using mobile augmented reality (AR) with virtual-real fusion in near-earth view. Limited by the complex outdoor environments, such as the restricted visibility, the computing and storage capability of mobile devices, the target cannot be identified correctly under the conditions of perspective, narrow and close view angle. Furthermore, the virtual-real fusion display will be affected by the far distance and large camera angle. In this paper, the acquirement strategy for registration viewpoints based on image template is first analyzed, and then a registration strategy of mobile AR based on cone-view partition of outdoor building environments is proposed under the restricted conditions of occlusion and visibility. Finally, this strategy is successfully applied to the development kit of mobile AR and the experimental results demonstrate feasible for the typical buildings in campus.

     

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