Normalized Cross-Correlation using SOFT

B. Huhle, T. Schairer, W. Straßer
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引用次数: 9

Abstract

We present a novel method to compute the Normalized Cross-Correlation (NCC) of spherical signals such as omnidirectional images for the purpose of image alignment, i.e. orientation estimation, or template tracking. Expanding the reference image and the search template in the spherical harmonics basis, we use the Fourier representation of SO(3) as introduced by Kostelec and Rockmore. We show that the normalized version of the cross-correlation function with regard to orientation can be expressed in terms of standard correlation terms and the NCC can therefore be computed efficiently in O (N3 log2(N)). The approach is validated with experiments on real image sequences in a template matching application.
使用软归一化互相关
我们提出了一种新的方法来计算球面信号(如全向图像)的归一化互相关(NCC),用于图像对齐,即方向估计或模板跟踪。在球面谐波基上扩展参考图像和搜索模板,使用Kostelec和Rockmore引入的SO(3)的傅里叶表示。我们表明,关于方向的互相关函数的归一化版本可以用标准相关项表示,因此NCC可以在O (N3 log2(N))内有效地计算。在一个模板匹配应用中,对该方法进行了验证。
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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