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Skin color image analysis for evaluating wetness on palm with reducing influence of sharp highlights

机译:肤色图像分析,用于评估手掌上的湿度,减少锐利亮点的影响

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摘要

In this study, we analyzed color changed by wetness in various areas on palm to clarify the influence of highlights. To improve the accuracy of emotion estimation, it is necessary to suggest other modalities combined with the conventional modalities. Therefore, we focused on emotional sweating, which is reliable modality of contact methods but not used in non-contact methods. We analyzed the color change in images containing a few highlights to clarify the influence of sharp highlights because the highlights can be noise for the analysis of internal reflection change by getting wet. The sharp highlight means the bright pixels in images of gloss material. We also analyzed areas separated from pixels representing sharp highlights to unveil the influence of the sharp highlights. As a result, we found that sharp highlights have a little influence on the analysis and better detection can be performed on pixels not containing sharp highlight area.
机译:在这项研究中,我们分析了手掌各个区域的湿度导致的颜色变化,以阐明亮点的影响。为了提高情绪估计的准确性,有必要提出与传统方式相结合的其他方式。因此,我们专注于情绪出汗,这是接触方法的可靠方式,但未在非接触方法中使用。我们分析了包含一些高光的图像的颜色变化,以澄清锐利的高光的影响,因为高光可能会成为弄湿内部反射变化的噪声。鲜明的高光表示光泽材料图像中的明亮像素。我们还分析了与代表鲜明高光的像素分开的区域,以揭示鲜明高光的影响。结果,我们发现清晰的高光对分析的影响很小,并且可以对不包含清晰的高光区域的像素执行更好的检测。

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