一种无需控制信息的智能手机自检校方法

传统的相机检校方法受限于高精度的三维检校场或已知空间结构的检校模板，针对这个问题，在分析智能手机成像特征的基础上，提出一种无需控制信息的相机检校方法。该方法主要包括两个步骤:首先按3×3模式采集影像数据，选取基准影像，分别与其他影像进行相对定向以构建单元模型，通过比例系数进行模型连接后建立自由网模型，将所有摄站点、物方点坐标纳入到统一的基准影像坐标系中；然后以选择的基准影像为参考，并考虑附加参数模型，进行自检校光束法自由网平差，解算其余影像相对于基准影像的方位元素以及附加参数，从而完成相机的检校。实验结果表明，该检校方法是有效的，可显著提高测量的精度。

A Smartphone Self-Calibration Method Without Control Information

Traditional camera calibration methods are limited by high-precision three-dimensional inspection tinker or calibration template with known space structure. Aiming at this problem, this paper puts forward a kind of camera calibration method without control information on the basis of the analysis of characteristics of smartphone imaging. This method includes two steps:Firstly, we collect images data according to 3×3 mode, select a reference image to take relative orientation with other images in order to build unit model, and build free net model through the proportional coefficient after model connection, then coordinates of projective centers and object space points will be all taken into one coordinate system of reference image; secondly, taking the base image selected as reference and considering additional parameter model, orientation elements of images relative to reference image and additional parameters will be gotten after self-calibration bundle block adjustment. Experimental results show that this calibration method is effective and can significantly improve the accuracy of measurement.