改进阴阳网格的鱼眼图像角点检测

An-shui Yu, K. Hara, K. Inoue, K. Urahama
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引用次数: 1

摘要

我们提出了一个框架,将标准矩形图像的角点特征检测扩展到用鱼眼镜头捕获的扭曲圆形图像。为了解决空间分辨率的不均匀性和球面极坐标的奇异性两个问题,我们的方法利用了阴阳网格的修改,这是一个由两个纬度/经度坐标系组成的重叠网格。主要的贡献是保持现有的角落检测程序的使用。在合成图像和真实图像上的实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corner detection in fisheye images by modified Yin-Yang grid
We propose a framework to extend corner feature detection in standard rectangular images with less distortion to distorted circular images captured with fisheye lenses. To solve two problems of nonuniformity of spatial resolution and spherical polar coordinates singularity, our approach makes use of a modification in the Yin-Yang grid, which is an overset grid consisting of two latitude/longitude coordinate systems. The main contribution is to keep the use of existing corner detection programs. Experimental results on synthetic and real images demonstrate the effectiveness of our method.
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