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[色度] 线结构光传感器标定不确定度估计

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csxfjsw123 发表于 2008-1-25 16:19:40 | 显示全部楼层 |阅读模式
线结构光传感器标定不确定度估计

刘珂 周富强 张广军北京航空航天大学仪器科学与光电工程学院,北京100083摘 要:分析了标定样本数据的不确定度对线结构光传感器标定精度的影响,利用矩阵扰动理论和一阶不确定度分析理论,给出线结构光视觉传感器模型中映射矩阵参数不确定度的评估方法,并建立了从标定样本数据不确定度到标定不确定度的传播模型。利用蒙特卡洛统计法进行了仿真验证,结果表明所建立不确定度传播模型的有效性,为线结构光传感器标定精度的评估提供了依据。[著者文摘]

关键词:视觉传感器 结构光视觉 标定 不确定度 蒙特卡洛统计法
分类号: TP391.41[免标]文献标识码:A文章编号:1003-501X(2006)08-0079-06栏目信息:光电测量
相关文献:主题相关

Estimation of uncertainty in calibrating line structured light sensorLIU Ke, ZHOU School of Instrument Science & Fu-qiang, ZHANG Guang-jun Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China Abstract:The influence of uncertainty of feature points on the calibration accuracy of the line structured light vision sensor was analyzed in the paper. Based on the theory of matrix turbulence and first-order uncertainty analysis, a feasible method for estimating the uncertainty of parameters of homography matrix was proposed, and propagating model of uncertainty from errors of the feature points to the calibration error was established as well. Simulation experiments conducted with Monte Carlo statistic method reveal that the proposed propagating model of uncertainty is valid. Based on the established uncertainty model, one practical error evaluating method can be obtained in calibrating the line structured light vision sensor.[著者文摘]

Key words:Vision sensors; Structured light vision; Calibration; Uncertainty; Monte Carlo statistic method

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