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Techniques for identifying skin color in images having uncontrolled lighting conditions

机译:用于在具有不受控制的照明条件的图像中识别肤色的技术

摘要

In some embodiments of the present disclosure, one or more machine learning models are trained to accurately estimate skin color in one or more images regardless of the lighting conditions. In some embodiments, the models can then be used to estimate a skin color in a new image, and that estimated skin color can be used for a variety of purposes. For example, the skin color may be used to generate a recommendation for a foundation shade that accurately matches the skin color, or a recommendation for another cosmetic product that is complimentary with the estimated skin color. Thus, the need for an in-person test of the product is eliminated.
机译:在本公开的一些实施例中,无论照明条件如何,训练一个或多个机器学习模型以便在一个或多个图像中精确地估计肤色。 在一些实施例中,该模型可以用于估计新图像中的肤色,并且估计的肤色可以用于各种目的。 例如,皮肤颜色可用于为基础阴影产生准确匹配肤色的建议,或者对于与估计的肤色互补的另一种化妆品的推荐建议。 因此,消除了对产品的亲自测试的需求被消除。

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