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首页> 外文会议>IEEE Conference on Virtual Reality and 3D User Interfaces >Ground Camera Images and UAV 3D Model Registration for Outdoor Augmented Reality
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Ground Camera Images and UAV 3D Model Registration for Outdoor Augmented Reality

机译：用于室外增强现实的地面摄像机图像和无人机3D模型注册

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摘要

This paper presents a novel virtual-real registration approach for augmented reality (AR) in large-scale outdoor environments. Essentially, it is a pose estimation for the mobile camera images (ground camera images) in 3D model recovered by Unmanned Aerial Vehicle (UAV) image sequence via Structure-From-Motion (SFM) technology. The approach considers to indirectly establish the spatial relationship between 2D and 3D space by inferring the transformation relationship between the ground camera images and the UAV 3D model rendered images. Specifically, the proposed approach can overcome the positioning errors, which are deterioration and drift in the GPS, and deviation of orientation. The experimental results demonstrate the possibility of the proposed virtual-real registration approach, and show that the approach is robust, efficient and intuitive for AR in large-scale outdoor environments.
机译：本文提出了一种在大型室外环境中用于增强现实（AR）的新颖的虚拟现实注册方法。本质上，它是对3D模型中的移动摄像机图像（地面摄像机图像）的姿态估计，该3D模型由无人飞行器（UAV）图像序列通过动感结构（SFM）技术恢复。该方法考虑通过推断地面摄像机图像和无人机3D模型渲染图像之间的变换关系来间接建立2D和3D空间之间的空间关系。具体地，所提出的方法可以克服定位误差，该定位误差是GPS中的劣化和漂移以及定向的偏差。实验结果证明了提出的虚拟现实配准方法的可能性，并表明该方法对于大型户外环境中的AR是鲁棒，有效和直观的。

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