This study aimed to investigate the usability of smartphone camera images in 3D positioning applications with photogrammetric techniques. These investigations were performed in two stages. In the first stage, the cameras of five smartphones and a digital compact camera were calibrated using a calibration reference object, with signalized points having known three-dimensional (3D) coordinates. In the calibration process, the self-calibration bundle adjustment method was used. To evaluate the metric performances, the geometric accuracy tests in the image and object spaces were performed and the test results were compared. In the second stage, a 3D mesh model of a historical cylindrical structure (height = 8 m and diameter = 5 m) was generated using Structure-from-Motion and Multi-View-Stereo (SfM-MVS) approach. The images were captured using the Galaxy S4 smartphone camera, which produced the best result in the geometric accuracy tests for smartphone cameras. The accuracy tests on the generated 3D model were also applied in order to examine 3D object reconstruction capabilities of imaging with this device. The results demonstrated that smartphone cameras can be easily used as image acquisition tools for multiple photogrammetric applications.

中文翻译：

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用于3D信息的手机摄像头图像的几何评估

这项研究旨在利用摄影测量技术研究智能手机相机图像在3D定位应用中的可用性。这些调查分两个阶段进行。在第一阶段，使用具有已知三维（3D）坐标的信号点，使用校准参考对象对五个智能手机的相机和紧凑型数码相机进行校准。在校准过程中，使用了自校准束调整方法。为了评估度量标准性能，在图像和对象空间中执行了几何精度测试，并比较了测试结果。在第二阶段中，使用“动感结构”和“多视角立体”（SfM-MVS）方法生成了历史圆柱结构（高度= 8 m，直径= 5 m）的3D网格模型。图像是使用Galaxy S4智能手机相机拍摄的，该产品在智能手机相机的几何精度测试中产生了最佳结果。为了检查该设备成像的3D对象重建能力，还对生成的3D模型进行了精度测试。结果表明，智能手机相机可以轻松用作多种摄影测量应用程序的图像采集工具。