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Subpixel Corner Detection Using Spatial Moment

机译:使用空间矩的亚像素角点检测

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摘要

A novel subpixel corner detection method based on spatial moment is developed in this paper. Firstly, the spatial-moment-generating function, gradient magnitude and variation of gradient-direction corner are used as the decision rule of corner detection by analyzing the mathematical formula of corner-model spatial moment. Then Non-max suppression technique is utilized to detect the vertex of feature corner. Finally, in order to improve its localization performance, subpixel corner detection is implemented by the bilinear interpolation and Newton iteration method. Experiments illustrate that the spatial moment corner detector has better robustness and localization performance than Kitchen detector and Harris detector.
机译:提出了一种基于空间矩的新型亚像素角点检测方法。首先,通过分析角模型空间矩的数学公式,将空间矩产生函数,梯度大小和梯度方向角的变化作为角检测的决策规则。然后利用非最大抑制技术检测特征角的顶点。最后,为了提高其定位性能,通过双线性插值和牛顿迭代法实现了亚像素角点检测。实验表明,空间矩角检测器比Kitchen检测器和Harris检测器具有更好的鲁棒性和定位性能。

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