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Adaptive Skin Color Detection through Iterative Illuminant Color Estimation and Conversion for Preferred Skin Color Reproduction

机译:自适应肤色检测通过迭代光源颜色估计和优选的肤色再现转换

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摘要

A robust skin color detection method using adaptive skin color modeling on YES color space is proposed. The skin colors are classified into three skin regions according to the Y value, and each region is modeled as the skin color in ES plane. By introducing an iterative estimation method of the illuminant color, we effectively remove the pseudo-skin colors that have been erroneously detected in skin color using the standard deviation of E-histogram. We also improve the skin color detection rate using a post-processing expansion mask that can include highlight and shadow pixels near the skin region as the skin color region.
机译:提出了一种使用自适应肤色模拟的鲁棒肤色检测方法是颜色空间。 根据Y值,肤色分为三个皮肤区域,每个区域被建模为ES平面中的肤色。 通过引入光源颜色的迭代估计方法,我们使用电子直方图的标准偏差有效地消除了在肤色中错误地检测到的伪肤色。 我们还使用后处理的膨胀掩模提高肤色检测率,其可以包括皮肤区域附近的突出显示和阴影像素作为皮肤彩色区域。

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