Enhancing SURF Feature Matching Using Colour Histograms

T. M. Barroso, P. Whelan
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引用次数: 2

Abstract

A strategy is proposed that enhances the local feature matching capabilities of the SURF descriptor by utilising colour histograms. The results compare variations of the RGB, HSV and Opponent colour spaces on a dataset of image pairs that undergo illumination, viewpoint and translational changes. This study finds the most appropriate colour space that enhances the distinctiveness of a descriptor when applied to the matching of corresponding features in arbitrary image sets.
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使用颜色直方图增强SURF特征匹配
提出了一种利用颜色直方图增强SURF描述符局部特征匹配能力的策略。结果比较了RGB、HSV和对手颜色空间在经历光照、视点和平移变化的图像对数据集上的变化。本研究找到了最合适的颜色空间,当应用于任意图像集的相应特征匹配时,可以增强描述符的独特性。
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