面部表情模仿系统的开发

Do Hyoung Kim, Sung-Uk Jung, K. An, H. Lee, M. Chung
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引用次数: 16

摘要

近十年来,人脸分析,如人脸识别、人脸检测、人脸跟踪和面部表情识别,是一个非常活跃和不断发展的研究领域。随着计算机动画代理和机器人为人机交互带来社会维度,人们对这一研究领域的兴趣正在迅速增加。本文介绍了一种人工面部表情模拟系统,该系统既能识别人类的面部表情,又能模仿识别出来的面部表情。本文提出了一种基于修正矩形特征得到的弱分类器的人脸识别算法。接下来,我们介绍了我们的机器人,它是由分布式控制算法操纵的,可以做出人工的面部表情。最后,通过面部表情识别和面部表情生成的实验结果,验证了该人工面部表情模仿者的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Facial Expression Imitation System
In the last decade, face analysis, e.g. face recognition, face detection, face tracking and facial expression recognition, is a very lively and expanding research field. As computer animated agents and robots bring a social dimension to human computer interaction, interest in this research field is increasing rapidly. In this paper, we introduce an artificial facial expression mimic system which can recognize facial expressions of human and also imitate the recognized facial expressions. We propose a classifier that is based on weak classifiers obtained by using modified rectangular features to recognize human facial expression in real-time. Next, we introduce our robot that is manipulated by a distributed control algorithm and that can make artificial facial expressions. Finally, experimental results of facial expression recognition and facial expression generation are shown for the validity of our artificial facial expression imitator
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