"Wow! you are so beautiful today!"

Proceedings of the 21st ACM international conference on Multimedia Pub Date : 2013-10-21 DOI:10.1145/2502081.2502258

Luoqi Liu, Junliang Xing, Si Liu, Hui Xu, Xi Zhou, Shuicheng Yan

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引用次数: 33

Abstract

In this demo, we present Beauty e-Experts, a fully automatic system for hairstyle and facial makeup recommendation and synthesis. Given a user-provided frontal facial image with short/bound hair and no/light makeup, the Beauty e-Experts system can not only recommend the most suitable hairstyle and makeup, but also show the synthesis effects. Two problems are considered for the Beauty e-Experts system: what to recommend and how to wear, which describe a similar process of selecting and applying hairstyle and cosmetics in our daily life. For the what-to-recommend problem, we propose a multiple tree-structured super-graphs model to explore the complex relationships among the beauty attributes, beauty-related attributes and image features, and then based on this model, the most suitable beauty attributes for a given facial image can be efficiently inferred. For the how-to-wear problem, a facial image synthesis module is designed to seamlessly blend the recommended hairstyle and makeup into the user facial image. Extensive experimental evaluations and analysis on testing images well demonstrate the effectiveness of the proposed system.

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“哇!你今天真漂亮!”

在这个演示中，我们展示了Beauty e-Experts，一个全自动的发型和面部化妆推荐和合成系统。给定用户提供的短发/短发、素颜/淡妆的正面面部图像，Beauty e-Experts系统不仅可以推荐最适合的发型和妆容，还可以显示合成效果。美容e-Experts系统考虑了两个问题:推荐什么和如何使用，这与我们日常生活中选择和使用发型和化妆品的过程类似。对于“推荐什么”问题，我们提出了一个多树结构的超图模型，探索美丽属性、美丽相关属性和图像特征之间的复杂关系，并基于该模型高效地推断出给定面部图像最适合的美丽属性。对于如何穿着的问题，设计了一个面部图像合成模块，将推荐的发型和妆容无缝地融合到用户的面部图像中。大量的实验评估和测试图像分析很好地证明了该系统的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 21st ACM international conference on Multimedia

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