高精度双目CCD测距研究
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摘要
本文根据双目CCD测距的研究现状及特点,对本课题进行了深入研究。通过对双目视差原理的分析,对CCD摄像机、镜头、测距平台等设备参数提出了具体要求,以满足测量远距离目标要求及高精度指标。从而最终确定并完成了双目CCD测距系统的总体设计方案。
     由于摄像机标定是实现高精度的双目测量的前提条件,本文完成了对双目摄像机的标定。对Tsai的标定算法提出了改进,提出了一种完全线性标定摄像机的方法。根据径向平行约束和一阶径向畸变模型线性求解其余摄像机的内外部参数,包括焦距、一阶径向畸变系数、旋转矩阵和平移向量。实验中针对标定遇到的问题,改进了原有算法,采用单独标定平移分量tz,消除了tz对标定结果造成的不稳定影响,得到了收敛性较好的焦距值。实验数据表明该算法具有较高的标定精度。
     本文还实现了高精度亚像素匹配,匹配算法是高精度双目测距的核心。采用匹配精度较高的互相关匹配算法,为了克服该算法运算较复杂的缺点,提出了一种基于尺度变换的快速匹配算法,大大节省了匹配所消耗的时间。根据互相关匹配结果获得的相关函数,对相关峰进行了分析,提出了两种拟合算法来进一步提高匹配精度,达到亚像素级别。
     根据测量结果表明,本文的双目CCD测距系统具有较高的测量精度,目前可以测量3km以内的目标,实际测量精度高于0.5%。
According to the status and characteristics of binocular CCD cameras ranging, the subject has been studied depth in this paper. Through analyzing the binocular parallax, the specific requirements of the CCD camera, lens, ranging platform, and other equipments'parameters are proposed for satisfying the requirement of distant range target measurement and high-precision. The binocular CCD camera ranging system has been determined and completed in this paper.
     Calibrating the camera is the precondition of high-precision binocular measurements, and the camera is calibrated perfectly in experiment. A completely linear approach for camera calibration is presented in this paper, and it improves the Tsai's calibration algorithm. Solving the other internal and external camera parameters based on Radial-Array-Constraints and first-order radial distortion model, which include focal length, first-order radial distortion parameter, rotation matrix and translation vector. Because of the problem in calibration experiments, the original algorithm has been improved. It calibrates the translation component tz, which eliminates the unstable effect for the result and makes the good convergence of the focal length. Experimental data show that the algorithm has high accuracy.
     The article also achieved high precision sub-pixel matching, and the matching algorithm is the core of high accuracy binocular ranging. By applying the correlative matching algorithm, the fast matching algorithm based on scale transform is presented for overcoming the shortcomings of more complex operations, and it significant saves in time. According to the correlative function obtained in matching, two fitting algorithm are proposed for improving the matching accuracy, so as to achieving sub-pixel level.
     Measurement results show that the binocular CCD camera ranging system has a high accuracy, and the measurement accuracy better than 0.28% within 3 km distance in the current.
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