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Photo matching using skin color histogram without and with Instagram-like modifications

机译:使用肤色直方图的照片匹配,没有Instagram的修改

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Social networking has become a part of our lives. Web platforms enable communication and exchange of different media for private and business purposes, where beauty or Instagram-like filters are applied for better representation. Among face characteristics, skin color is often used for recognition or matching. In this paper feature vectors corresponding to unmodified and modified query images are based on two color space domains (HSV and Lab). Seven different distance metrics are applied for matching purposes, as well several Instagram related filters, like sepia and kelvin. The results show that image filtering affect color skin based approaches in information retrieval.
机译:社交网络已成为我们生命的一部分。 Web平台为私人和商业目的而启用不同媒体的通信和交换,其中美容或Instagram样过滤器适用于更好的表示。在面部特征中,肤色通常用于识别或匹配。在本文中,对应于未修改和修改的查询图像的特征向量基于两个颜色空间域(HSV和实验室)。应用七种不同的距离指标用于匹配目的,以及多个与棕褐色和塞尔文化的滤波器的若干Instagram相关的过滤器。结果表明,图像滤波在信息检索中影响基于彩色皮肤的方法。

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