以计算机视觉和视觉检测中的摄像机标定过程作为研究的对象,分析了开源计算机视觉函数库OpenCV中的摄像机模型,使用张正友基于平面模板的方法进行标定,过程中充分考虑了透镜径向畸变和切向畸变因素的影响。文章给出了标定的详细步骤,并对具体函数做了算法上的分析,同时从参数非线性回归分析的角度提出了优化的途径和措施。该算法充分发挥了OpenCV函数库的功能,提高了标定精度和计算效率,具有良好的跨平台移植性,可以满足视觉检测或其它计算机视觉系统的需要。-To computer vision and visu

A Perceptually Attentive Super-Resolution (PASR) method is presented to significantly reduce the computational complexity of iterative super-resolution algorithms without loss of the desired perceptual quality. A perceptual model based on just

摄像机标定文献，阐述了摄像机模型，畸变模型和一般的求解过程，以及优化方法-Camera calibration literature on the camera model, distortion model and the solution process, as well as the optimization method