首页> 外文会议> >Research and Development of the Humanoid Head Portrait Robot 'HFrobot-II' with Expression and Function of Recognizing Human Expression
【24h】

Research and Development of the Humanoid Head Portrait Robot 'HFrobot-II' with Expression and Function of Recognizing Human Expression

机译:具有表达和识别人类表情功能的人形头像机器人“ H&Frobot-II”的研究与开发

获取原文

摘要

A human head portrait robot system "H&Frobot-II", which has vision, expression recognition and facial expression is designed and developed in this paper. Using elastic facial skin mechanisms and driver, this system could realize that the human head portrait robot capture images of 6 basic expressions (natural, happiness, anger, sadness, surprise and disgust) from CCD camera then recognize them by expression recognition software. In the recognition system, we researched a fast algorithm to recognize human facial expression based on the facial feature value. Projection and brightness ad justness were used to extract facial expression feature points from facial image data, which were obtained by a CCD. Fuzzy neural network were used to recognition basic facial expression. And achieve the high correct recognition ratio. In this paper, we firstly proposed and researched the problem about human head portrait robot representing same-intestity expressions of human beings, and presented the concepts of expression feature points offset and the coefficient of expression feature points offset, and deduced the calculation method of same-intensity representation. Through extraction the offset of feature value, the robot can represent the facial expression. The research provide an artificially emotion model as an applicable way to express emotion.
机译:本文设计并开发了一种具有视觉,表情识别和面部表情的人像机器人系统“ H&Frobot-II”。该系统利用面部皮肤弹性机制和驱动程序,可以实现人像机器人从CCD相机捕获6种基本表情(自然,幸福,愤怒,悲伤,惊奇和厌恶)的图像,然后通过表情识别软件对其进行识别。在识别系统中,我们研究了一种基于面部特征值的快速识别人脸表情的算法。投影和亮度平整度用于从由CCD获得的面部图像数据中提取面部表情特征点。模糊神经网络被用来识别基本的面部表情。并达到较高的正确识别率。本文首先提出并研究了关于人头像机器人代表人类同等表情的问题,提出了表情特征点偏移量的概念和表情特征点偏移量的概念,推导了该表达式的计算方法。 -强度表示。通过提取特征值的偏移量,机器人可以表示面部表情。该研究提供了一种人工情感模型,作为表达情感的一种适用方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号