Mobile Camera Localization Using Aerial-view Images
Mobile Camera Localization Using Aerial-view Images
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DOI：
10.2197/ipsjtcva.6.111
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
H. Toriya;I. Kitahara;Y. Ohta
中科院分区：
文献类型：
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作者：
H. Toriya;I. Kitahara;Y. Ohta
：本文提出了一种利用GIS数据库中的鸟瞰图与移动相机图像之间的对应点来估计移动相机位置和方向的方法。所述移动相机图像是从用户的视点拍摄的，所述鸟瞰图像包括同一区域。为了提高对应精度，我们利用移动相机的固有参数和惯性（重力）信息生成虚拟俯视图图像，虚拟地捕捉用户头顶的目标区域。我们找到了虚拟俯视图和鸟瞰图之间的对应点，并估计了一个将虚拟俯视图转换为鸟瞰图的单应矩阵。最后，通过分析矩阵估计移动摄像机的位置和方向。然而，在某些情况下，仅通过捕获单个虚拟顶视图图像来获得足够数量的正确对应点来估计正确的单应性矩阵是困难的。我们通过拼接虚拟顶视图图像来表示更大的地面区域来解决这个问题。我们在平板电脑上进行了实验，并对其有效性进行了评估。
: This paper proposes a method to estimate a mobile camera’s position and orientation by referring to the corresponding points between aerial-view images from a GIS database and mobile camera images. The mobile camera images are taken from the user’s viewpoint, and the aerial-view images include the same region. To increase the correspondence accuracy, we generate a virtual top-view image that virtually captures the target region overhead of the user by using the intrinsic parameters of the mobile camera and the inertia (gravity) information. We find corresponding points between the virtual top-view and aerial-view images and estimate a homography matrix that transforms the virtual top-view image into aerial-view image. Finally, the mobile camera’s position and orientation are estimated by analyzing the matrix. In some cases, however, it is di ffi cult to obtain a su ffi cient number of correct corresponding points to estimate the correct homography matrix by capturing only a single virtual top-view image. We solve this problem by stitching virtual top-view images to represent a larger ground region. We experimentally implemented our method on a tablet PC and evaluated its e ff ectiveness.