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Exact order based feature descriptor for illumination robust image matching

机译:基于精确顺序的特征描述符用于照明鲁棒图像匹配

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摘要

We present a novel method for a feature descriptor called an exact order based descriptor (EOD). The proposed method consists of three steps. First, to resolve ordering ambiguity for pixels of the same intensity, an exact order image is created by changing the discrete intensity into a k-dimensional continuous value. Second, exact order based features are generated globally and locally. Finally, the EOD is constructed by combining the global and local exact order features using the discrete cosine transform. Experimental results show that the proposed method outperforms other state-of-the-art descriptors over a number of images.
机译:我们提出了一种用于特征描述符的新颖方法,称为基于精确顺序的描述符(EOD)。所提出的方法包括三个步骤。首先,为了解决相同强度像素的排序模糊性,通过将离散强度更改为k维连续值来创建精确的顺序图像。其次,在全球和本地生成基于精确订单的功能。最后,通过使用离散余弦变换组合全局和局部精确阶次特征来构造EOD。实验结果表明,该方法在许多图像上均优于其他最新的描述符。

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