A flexible algorithm for image matching

F. Odone, A. Verri, E. Trucco
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引用次数: 9

Abstract

We propose a method for measuring the similarity between grey level images. The method is able to match images successfully even in the presence of small geometric deformations, illumination changes, and severe occlusions. It fits naturally an implementation based on a comparison of data structures which requires no numerical computations. The range of its applications is vast, and in particular it is a useful tool for object detection and iconic search. We present very good results on real images with and without occlusions, and a qualitative comparative study with a well-known correlation method.
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一种灵活的图像匹配算法
提出了一种灰度图像相似性度量方法。该方法能够成功匹配图像,即使在存在小的几何变形,照明变化和严重遮挡。它自然适合基于数据结构比较的实现,不需要数值计算。它的应用范围是广泛的,特别是它是一个有用的工具,对象检测和图标搜索。我们在有和没有遮挡的真实图像上给出了非常好的结果,并与著名的相关方法进行了定性比较研究。
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