Recently, it has become possible to examine the suitability of cosmetic products by virtual makeup techniques so that shoppers can buy products online. The virtual makeup can also be utilized at offline stores to prevent possible sanitation problems associated with swatching. Faithful color reproduction is one of the most important factors in virtual makeup applications. Thus, the color difference between the virtual and real makeup results needs to be minimized. However, most previous studies on virtual makeup focus on the recommendation of makeup style rather than on the accuracy of color reproduction. This article proposes an accurate lipstick color reproduction method based on convolutional neural network. This study indicates that the proposed method using a convolutional neural network results in the minimum value of color difference compared with linear regression and multilayer perceptron algorithms.

中文翻译：

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使用卷积神经网络在虚拟唇妆中再现色彩

最近，通过虚拟化妆技术检查化妆品的适用性成为可能，以便购物者可以在线购买产品。虚拟化妆品也可以在离线商店中使用，以防止与色票相关的卫生问题。忠实的色彩还原是虚拟化妆应用程序中最重要的因素之一。因此，虚拟和真实化妆结果之间的色差需要最小化。但是，以前有关虚拟化妆的大多数研究都着重于推荐化妆风格，而不是色彩还原的准确性。本文提出了一种基于卷积神经网络的精确口红色彩再现方法。