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Natural skin color transformation based on color subspace learning

机译:基于颜色子空间学习的自然肤色转换

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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普及,人们对美化图像处理的兴趣日益浓厚。作为美化的图像处理方法,可以通过各种用户喜欢的化妆来生成伪化妆脸。但是由于两个图像之间的光照条件不同或肤色不同,使用这种方法会生成不自然的图像。我们提出的方法可以通过基于颜色子空间学习的变换肤色来生成更自然的图像。我们还开发了一种肤色转换系统,可以快速自然地转换化妆效果。

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