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An Aircraft Ranging Algorithm Based on Two Frames of Image in Monocular Image Sequence

机译:一种基于两帧图像序列图像的飞机测距算法

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摘要

We proposed a novel rotation-invariant feature based passive ranging algorithm to estimate the distance of an imaged non-cooperation target to camera. This improved algorithm avoids sometimes occurrence of physically unreasonable results in solving the existing quartic equation, such as the happening of complex or negative value. This method uses three matched points in two adjacent frames of an image sequence to extract depth-dependent line features of the target. With this line features combination of the observera€?s displacement and imaging directions, a quadratic equation was build to estimate the distance. Analysis shows that the proposed new passive ranging equation would be solvable when the observer is with non-zero displacement in adjacent sampling instances. Our reduced-model experiment also demonstrates that the proposed algorithm is not only simple and feasible but also with a relative ranging error no more than 4 per cent in most cases. Defence Science Journal, Vol. 64, No. 1, January 2014, DOI:10.14429/dsj.64.2887
机译:我们提出了一种基于新颖的旋转不变特征的被动测距算法,以估计成像的非合作目标对相机的距离。这种改进的算法有时会避免发生物理上不合理的结果,求解现有的四个方程,例如复杂或负值的发生。该方法在图像序列的两个相邻帧中使用三个匹配点来提取目标的深度依赖性线特征。通过该线,特征在于观察者的位移和成像方向的组合,二次方程被构建以估计距离。分析表明,当观察者在相邻采样实例中具有非零位移时,所提出的新的被动测距方程将是可解吸的。我们的减少模型实验还表明,所提出的算法不仅简单可行,而且在大多数情况下也具有相对测距误差不超过4%。国防科学期刊,卷。 64,2014年1月1日,DOI:10.14429 / DSJ.64.2887

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