Yuan Jianying, Wang Qiong, Li Bailin
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China ; School of Automatic Control and Mechanical Engineering, Kunming University, Kunming, Yunmun 650214, China.
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China.
ScientificWorldJournal. 2014;2014:753932. doi: 10.1155/2014/753932. Epub 2014 Aug 18.
3D (three-dimensional) structured light scanning system is widely used in the field of reverse engineering, quality inspection, and so forth. Camera calibration is the key for scanning precision. Currently, 2D (two-dimensional) or 3D fine processed calibration reference object is usually applied for high calibration precision, which is difficult to operate and the cost is high. In this paper, a novel calibration method is proposed with a scale bar and some artificial coded targets placed randomly in the measuring volume. The principle of the proposed method is based on hierarchical self-calibration and bundle adjustment. We get initial intrinsic parameters from images. Initial extrinsic parameters in projective space are estimated with the method of factorization and then upgraded to Euclidean space with orthogonality of rotation matrix and rank 3 of the absolute quadric as constraint. Last, all camera parameters are refined through bundle adjustment. Real experiments show that the proposed method is robust, and has the same precision level as the result using delicate artificial reference object, but the hardware cost is very low compared with the current calibration method used in 3D structured light scanning system.
三维(3D)结构光扫描系统在逆向工程、质量检测等领域有着广泛应用。相机标定是保证扫描精度的关键。目前,为了获得较高的标定精度,通常采用二维(2D)或经过精细处理的三维标定参考物体,但操作困难且成本高昂。本文提出了一种新的标定方法,在测量空间中随机放置一个比例尺和一些人工编码靶标。该方法的原理基于分层自标定和光束法平差。我们从图像中获取初始内参数。利用分解法估计投影空间中的初始外参数,然后以旋转矩阵的正交性和绝对二次曲面的秩为3作为约束,将其升级到欧几里得空间。最后,通过光束法平差对所有相机参数进行优化。实际实验表明,该方法具有鲁棒性,与使用精密人工参考物体的结果具有相同的精度水平,但与当前三维结构光扫描系统中使用的标定方法相比,硬件成本非常低。