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A robust edge based corner detector

机译:强大的边缘检测器

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摘要

This paper presents a novel method to find corners that are well located and stable interest points in a given image. Our corners are defined as intersection points of non collinear straight image edges, which are very robust against various image transformations like image scaling, rotation, translation and also to viewpoint and illumination changes. Some light updates on the linking edge step that should be applied in order to extract edges and their intersections that construct the searched corners are also discussed. Experiments conducted on real images demonstrate that the proposed method is able to achieve a very good performance in accuracy, stability and especially computational efficiency in comparison with existing methods.
机译:本文提出了一种新颖的方法来查找给定图像中定位良好且兴趣点稳定的角。我们的角定义为非共线的直线图像边缘的交点,这些交点对于各种图像转换(例如图像缩放,旋转,平移以及视点和照明更改)非常健壮。还讨论了应在链接边缘步骤上进行的一些灯光更新,以提取边缘及其构成搜索角的相交。在真实图像上进行的实验表明,与现有方法相比,该方法在精度,稳定性,尤其是计算效率方面都具有很好的性能。

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