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改进的最小二乘算法在图像标定中的应用
引用本文:陈祥,段晓威,张磊,朱震寰,黄湘龙.改进的最小二乘算法在图像标定中的应用[J].科技咨询导报,2009(28):234-235.
作者姓名:陈祥  段晓威  张磊  朱震寰  黄湘龙
作者单位:中南大学机电工程学院,湖南长沙,410012 
摘    要:文章利用改进了的最小二来算法解决了对双目定位中的原始图像进行标定的问题,克服了一般算法在干扰产生畸变的情况下存在的拟合结果误差较大,精度不高,稳定性不好的弊端。通过对椭圆实例的拟合,验证了该算法的实效性,高适应性。

关 键 词:改进最小二乘法  双目定位  标定  椭圆拟合

The application of the improved least-squares algorithm in the image calibration
Chenxiang;Huangxianglong.The application of the improved least-squares algorithm in the image calibration[J].Science and Technology Consulting Herald,2009(28):234-235.
Authors:Chenxiang;Huangxianglong
Institution:Chenxiang;Huangxianglong ; Zhanglei ;Zhuzhenghuan
Abstract:In this paper,an improved least--squares algorithm is presented to solves the binocular positioning problem of the original image of the calibration. It also overcomes the interference generated in the case of distortion of the fitting results in existence of errors,poor accuracy and instability. Examples of the fitting ellipse verifies the effectiveness of the algorithm ,high adaptability.
Keywords:Improved least-squares  Binocular positioning  Calibration  Ellipse Fitting
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