Influence of numerical conditioning on the accuracy of relative orientation

机译：数值条件对相对定向精度的影响

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We study the influence of numerical conditioning on the accuracy of two closed-form solutions to the overconstrained relative orientation problem. We consider the well known eight-point algorithm and the recent five-point algorithm, and evaluate changes i

机译：我们研究了数值条件对两个过度约束的相对取向问题的闭式解的准确性的影响。我们考虑了众所周知的八点算法和最近的五点算法，并评估了

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《Computer Vision and Pattern Recognition (CVPR), 2007 IEEE Conference on》|2007年|P.1-8|共8页
会议地点 MinneapolisMN
作者
Segvic; S.; Schweighofer; G.; Pinz; A.;
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Hartley transforms; computer vision; Hartley normalization; Muehlich equilibration; noisy artificial datasets; numerical conditioning; overconstrained relative orientation problem; two closed-form solutions;

机译：哈特利转型；计算机视觉;哈特利归一化； Muehlich平衡；嘈杂的人工数据集；数值条件过度约束的相对取向问题；两个封闭形式的解决方案;

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Influence of numerical conditioning on the accuracy of relative orientation

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