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计算机视觉中摄像机标定的实验分析 被引量:14

Experimental analysis of camera calibration in computer vision
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摘要 摄像机标定是计算机视觉领域的关键技术之一,标定结果的精确度将直接影响最终测量数据的准确性和三维重建的精度与效果。计算机视觉应用的多样性的要求使得对相机标定技术的准确性方面的研究格外重要,选择一种操作简单,精确度高的标定方法是视觉测量技术的前提。在VS2010和MATLAB的开发环境下,用openCV、MATLAB Toolbox和MATLAB Camera Calibrator三种方法分别进行了标定实验,分析了各自在标定的精度、操作性、运行效率和稳定性方面的差异。并基于OpenCV设计了双目标定的标定程序界面,在JQRI100四足机器人的视觉导航平台上进行了应用。 Camera calibration is one of the key technologies in the field of computer vision .Accurate result of calibration will directly affect the accuracy and effectiveness of the final measurement and three‐dimensional reconstruction results . It is particularly important to study of the accuracy of the camera calibration technology because of the requirement of the diversity of computer vision applications ,so chocing a calibration which has operate easily and high accuracy is precondition of vision measuring technology .The development environment of this article is in VS2010 and MATLAB . It compares the precision ,operability ,efficiency and etc of the three methods ,openCV ,MATLAB toolbox calibration , and MATLAB camera calibrator .Meanwhile the author designs the calibration interface which is based on the openCV . And the application is used in the visual navigation platform of JQRI100 quadruped robot .
出处 《电子测量技术》 2016年第11期95-99,共5页 Electronic Measurement Technology
基金 国家水利部公益性行业科研专项(200701033)资助项目
关键词 摄像机标定 OPENCV MATLAB camera calibrate openCV MATLAB
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