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线结构光检测系统的摄像机镜头畸变校正及标定 被引量:2

Camera distortion correction and calibration for line structured-light measurement system
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摘要 分析滤光镜对物体成像特性的影响,确定其所引起的镜头畸变类型,并针对该类型采用除式模型(DM)来校正镜头畸变.利用除式模型特殊的结构形式将标定过程转化为线性求解过程,避免了传统标定方法采用多项式校正模型(PM)进行非线性优化搜索,提高了标定效率,保证了标定参数的稳定性.标定实验和实物配准实验表明,采用除式模型校正滤光镜所引起的镜头畸变,其测量精度要优于多项式模型和针孔模型. The effect of filter on imaging feature was analyzed and the type of lens distortion was determined.The division model(DM) was used to correct the lens distortion,and its special constructional features was used to transform the calibration process to linear solution process,which avoiding nonlinear optimization searching process with polynomial model(PM) of the traditional camera calibration method.The proposed algorithm can improve the efficiency and the stability.Experiments of calibration and registration show that the measuring accuracy in DM is superior to that in PM and Pinhole.
出处 《大连海事大学学报》 CAS CSCD 北大核心 2011年第4期67-70,共4页 Journal of Dalian Maritime University
基金 国家自然科学基金资助项目(50575029)
关键词 线结构光 摄像机标定 滤光镜 径向畸变 除式模型 line structured-light camera calibration filter radial distortion division model
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