物体形貌三维重建技术是视觉测量领域研究的热点,当前使用工业相机进行双目视觉测量的方法存在设备费用昂贵、操作过程复杂及需专业软件和相关技术人员进行后期处理等不足。针对这些方面的不足,研究了基于智能手机摄像头的三维重建方法,利用智能手机从不同角度拍摄多张图片,通过手机相机定标、图像预处理、特征点检测和匹配、基础矩阵和本质矩阵计算及奇异值分解的方法来实现图像的三维模型重建。实验结果表明,该方法基本可以达到一般工业相机的测量精度,满足日常应用中基本的三维形貌建模需求,可以极大地拓展视觉测量的应用范围。

Three-dimensional reconstruction of the topography of objects is extensively studied in the field of vision measurement. Current industrial cameras use the binocular vision measurement method; however, this method requires expensive equipment, specialized software, and trained technical personnel as well as involves complicated operational processes. To mitigate these shortcomings, this study proposes a three-dimensional reconstruction method based on a smartphone camera. Multiple pictures are captured from different angles using a smartphone, and their three-dimensional models are reconstructed using smartphone camera calibration, image preprocessing, feature point detection and matching, basic and essential matrix calculation, and singular value decomposition. Experimental results show that the proposed method can achieve the measurement accuracy of the general industrial camera, meet basic requirements of three-dimensional topography modeling, and considerably expand the scope of vision measurement applications.