A camera self-calibration technique based on factorization and bundle adjustment is proposed. With the hand-held and fix-focus camera undergoing at least three arbitrary motions around the calibration pattern, all the intrinsic parameters and the distortion coefficients can be obtained. The proposed method has three novelties. Firstly, its robustness is markedly increased since all the images are aligned in the factorization process. Secondly, the non-linear optimization algorithm bundle adjustment guarantees high accuracy. Thirdly, the proposed method does not require specialized calibration pattem or rigid camera motion, which makes it be used in a wide range of applications. Both simulation and real images experiments proved the feasibility and applicability of the proposed method, particularly applying to those close-range photogrammetry system based on image sequences. As a result, the new algorithm has been successfully applied to the feature point measurement system TN 3DOMS.FP v1.2 with independent intellectual property right of Saint Buffalo Technology Co., Ltd.%提出一种基于因子分解和光束法平差的摄像机自标定算法,只需手持定焦摄像机围绕物体拍摄3幅以上图像即可估计出摄像机的内参数以及畸变系数.该方法有3个主要特点:一是由于在因子分解重建过程中采用了所有图像的信息,因此具有很好的鲁棒性;二是由于在完成欧式重构后采用光束法平差对摄像机内参数以及畸变系数进行了非线性优化,因此具有较高的标定精度;三是由于对标定物体,摄像机运动没有严格的要求,因此在实际应用中易于实现.仿真和真实实验证明了该方法的可行性,特别适用于基于图像序列的近景摄影测量系统,算法已经成功应用于绵阳铁牛科技有限公司自主研发的特征点拍照测量系统(TN 3DOMS.FPv1.2).
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