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Digital camera calibration method based on PhotoModeler

机译:基于PhotoModeler的数码相机标定方法

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In recent years, with CCD (or CMOS) image sensor as the core components, digital cameras turns into a new generation cameras. Compared with ordinary cameras, digital cameras have a distinct advantage: achieving digital information collection, image processing conveniently, and have been widely used in many fields presently. However, when people using ordinary digital camera doing research, few consider the error of the target image caused by digital camera distortion, digital camera is the important equipment to obtain digital image data, and its camera distortion should attract users attention. To ensure the quality of its results to meet the precision of the measurement tasks, the calibration of each parameter will be an important task. Commonly used camera calibration method including: spatial resection, direct linear transformation, analytical plumb line and self calibration. In this paper we use space resection, obtain calibration images through the establishment of mathematical model calibration, locate the accurate position of pixels and obtain accurate calibration parameters. Getting conclusion by authentication example, provide basic guarantees for the follow-up of Digital close-range photogrammetry and 3D modeling.
机译:近年来,以CCD(或CMOS)图像传感器为核心组件,数码相机成为新一代的相机。与普通相机相比,数码相机具有明显的优势:可以方便地实现数字信息的采集,图像处理,并且目前在许多领域得到了广泛的应用。然而,当人们使用普通的数码相机进行研究时,很少有人考虑到数码相机变形引起的目标图像误差,数码相机是获取数码图像数据的重要设备,其相机变形应引起用户的关注。为了确保其结果的质量满足测量任务的精度,每个参数的校准将是一项重要的任务。常用的摄像机标定方法包括:空间切除,直接线性变换,铅垂分析线和自标定。在本文中,我们使用空间切除,通过建立数学模型校正来获得校正图像,找到像素的准确位置并获得准确的校正参数。通过认证实例得出结论,为数字近距离摄影测量和3D建模的后续工作提供基本保证。

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