...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Robotica >Design and Implementation of a Facial Character Analysis Algorithm for Humanoid Robots
【24h】

Design and Implementation of a Facial Character Analysis Algorithm for Humanoid Robots

机译：人形机器人面部特征分析算法的设计与实现

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Humanoid robots (HR) equipped with a sophisticated facial character analysis (FCA) algorithm can able to initiate crucial improvements in human-robot interactions. This paper, for the first time in the literature, proposes a three-stage FCA algorithm for the HR. At the initial stage of this algorithm, the HR detects the face with the Viola-Jones algorithm, and then important facial distance measurements are obtained with the geometric-based facial distance measurement technique. Finally, the measured facial distances are evaluated with the physiognomy science to reveal the characteristic properties of a person. Even though the proposed algorithm can be implemented to all HR, in this paper, it has been specifically applied to NAO HR. The reliability of the developed FCA algorithm is verified by analyzing each terminal decision about the character and its connection with the measured facial distances in the anatomy science.
机译：配备了先进的面部特征分析（FCA）算法的类人机器人（HR）能够启动人机交互的关键性改进。本文是文献中首次提出一种针对人力资源的三阶段FCA算法。在此算法的初始阶段，HR使用Viola-Jones算法检测面部，然后使用基于几何的面部距离测量技术获得重要的面部距离测量。最后，用面相科学对测得的面部距离进行评估，以揭示人的特征。尽管所提出的算法可以应用于所有HR，但在本文中，它已专门应用于NAO HR。通过分析解剖学中有关字符及其与测得的面部距离的联系的每个最终决定，可以验证所开发的FCA算法的可靠性。

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