Generalized facial expression of character face based on deformation model for human-robot communication

T. Fukuda, M. Nakashima, F. Arai, Y. Hasegawa
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引用次数: 5

Abstract

Communication between a computer system and a user is quite important. For communication, a facial expression of robot will be effective to show an internal state of the robot from the mental aspect. If a system has its own face with appropriate facial expression, it can be also used as the communication interpreter. In this paper, we focus on the facial expression for the computer system. We have developed the artificial face by both software and hardware as a communication tool. We consider that the recognition rate of the artificial face by the user is important for a real communication. So, we used the "Character Face (CF)" as an information terminal and some basic facial expressions were expressed using the deformation technique. We proposed a normalization technique to apply the facial expression to the various different faces easily. We developed the facial expression system by the 3D computer graphics (CG) and evaluated the recognition rate of their expressions. The recognition rate was improved by the deformation-based approach and this method can be applied to the various different faces by the normalization technique.
基于变形模型的人物脸广义面部表情人机交流
计算机系统和用户之间的通信是非常重要的。对于交流来说,机器人的面部表情可以有效地从心理方面展示机器人的内部状态。如果一个系统有自己的脸,有适当的面部表情,它也可以用作通信解释器。本文主要研究面向计算机系统的面部表情识别。我们从软件和硬件两方面开发了作为交流工具的人工脸。我们认为用户对人工人脸的识别率对于真实的通信是非常重要的。因此,我们以“字符脸(CF)”作为信息终端,利用变形技术来表达一些基本的面部表情。我们提出了一种归一化技术,可以很容易地将面部表情应用于各种不同的面部。利用三维计算机图形学技术开发了人脸表情系统,并对人脸表情的识别率进行了评估。基于形变的人脸识别方法提高了人脸的识别率,并通过归一化技术将该方法应用于各种不同的人脸。
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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