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Research of Rapid Attention-Information Extraction in Human-Robot Interaction

机译:人机交互中快速注意信息提取的研究

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In the human-robot interactions, it is an important research on the artificial intelligence that robots catch the human's attention information. This process has a significant impact on robot intelligence. In this paper, a system for extracting human's attention-information from interaction has been designed. On the basis of face detection and eye-area location, an algorithm, combined with ant colony algorithm(ACA) eye edge extracting, curve fitting and eye-model 3D reconstruction, has been designed to achieve attention information successfully by using an ordinary web cam and a low requirement hardware system. There is a significant help on real-time and applicability for human-robot visual interaction.
机译:在人机交互中,机器人捕捉人的注意力信息是对人工智能的重要研究。此过程对机器人智能有重大影响。本文设计了一种从交互中提取人的注意信息的系统。在人脸检测和眼球区域定位的基础上,设计了一种算法,结合蚁群算法(ACA)的眼边缘提取,曲线拟合和眼模型3D重建,可以使用普通的网络摄像头成功获得注意力信息。和低要求的硬件系统。人机视觉交互的实时性和适用性有很大帮助。

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