文件名称:byjc
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边缘检测和摄像机标定算法的研究:计算机立体视觉中,首先必须解决的是三维物点与二维像点的对应关系问题。因此, 摄像机标定是计算机视觉实现的前提和基本问题。 摄像机标定主要分为传统的标定算法和自标定算法。由于摄像机镜头存在着畸变, 对于要求精度定位的应用,需要进行畸变校正。传统的标定算法中各种算法存在着计算量大的不
足,本文将利用 T s a i 的两步标定法,考虑一阶径向畸变的摄像机标定算法,它与其它优化算法相比具有简单实用、 计算量小的特点。 实验结果表明,该方法可以达到较高的精度。-err
足,本文将利用 T s a i 的两步标定法,考虑一阶径向畸变的摄像机标定算法,它与其它优化算法相比具有简单实用、 计算量小的特点。 实验结果表明,该方法可以达到较高的精度。-err
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