基于局部约束的交互式面部素描表情生成

Yang Yang, Nanning Zheng, Yuehu Liu, Lei Yang, Ping Wei, Y. Nishio
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引用次数: 2

摘要

本文提出了一种交互式草图表达式生成方法。通过在新输入的草图面上拖动一个或几个控制点,系统可以自动绘制相应的自然表情。然而,对于一个看不见的目标,用户对其中性的面孔只有很少的了解,用户的任意输入往往会导致不自然甚至不合理的结果。该方法从一组不同的面部样本中学习两种先验:第一种面部形状先验和相关运动先验,分别保证了面部的全局结构和特定的相关运动规律。然后,我们提出了一个综合统计人脸模型,将这两种先验与用户输入的局部约束结合起来。实验结果表明,该方法能够生成满足用户要求的自然表达结果。我们的互动系统也很容易操作,即使是第一次使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive facial sketch expression generation using local constraints
In this paper, an interactive sketch expression generation method is presented. By dragging one or a few control points on a new input sketch face, the system can draw corresponding natural expressions automatically. However, for an unseen target, with just a few knowledge of its neutral face, users' arbitrary input will often lead to unnatural even unreasonable results. In the proposed method, two kinds of priors are learnt from a set of different facial examples first-facial shape prior and correlated motion prior, which guarantee the global facial structures and the specific correlated motion regulations of the face respectively. Then, we present an integrated statistic face model to combine these two priors with user-input local constraints. The experimental results showed that our method could generate natural expression results to satisfy the user's requirements. Our interactive system is also easy and simple to operate even for the first-time user.
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