An invariant similarity registration algorithm based on the Analytical Fourier-Mellin Transform

M. Sellami, F. Ghorbel
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引用次数: 13

Abstract

Here, we intend to introduce an invariant similarity registration method based on Analytical Fourier-Mellin Transform (AFMT) computed on the image functions. The well-known phase correlation method which estimates the geometrical transformation parameters between tow images from the corresponding Fourier-Mellin spectrums is compared to the proposed one. In order to illustrate the best performance of the geometric parameters estimation, we apply our method to the construction of Punic Panorama.
基于解析傅里叶-梅林变换的不变相似度配准算法
本文提出了一种基于解析傅里叶-梅林变换(AFMT)的图像函数不变相似度配准方法。通过对傅里叶-梅林谱估计两幅图像之间的几何变换参数的相位相关方法与本文提出的方法进行了比较。为了说明几何参数估计的最佳性能,我们将该方法应用于Punic全景图的构造。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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