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Natural skin color transformation based on color subspace learning

机译:基于彩色子空间学习的天然肤色变换

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摘要

With the rapid spread of digital cameras, a growing interest has been seen in image processing for beautification. Pseudo make-up face can be generated by a variety of user's preferred make-up as the image processing method for beautification. But unnatural image be generated by this method because of different lighting conditions or skin colors between two images. Our proposed method can generate more natural images by transforming skin color which based on color subspace learning. We also developed a skin color transformation system, which can transform the effect of make-up rapidly and naturally.
机译:随着数码相机的迅速传播,在图像处理中已经出现了越来越感兴趣的兴趣。伪化妆面可以通过各种用户优选的化妆来产生作为美化的图像处理方法。但是由于两个图像之间的不同的照明条件或肤色,因此通过该方法产生了不自然的图像。我们所提出的方法可以通过转换基于颜色子空间学习的肤色来产生更多自然图像。我们还开发了一种肤色转换系统,可以快速且自然地改变化妆的效果。

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