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Face feature processor on mobile service robot

机译:移动服务机器人面部功能处理器

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摘要

In recent years, many mobile service robots have been developed. These robots are different from industrial robots. Service robots were confronted to unexpected changes in the human environment. So many capabilities were needed to service mobile robot, for example, the capability to recognize people's face and voice, the capability to understand people's conversation, and the capability to express the robot's thinking etc. This research considered face detection, face tracking and face recognition from continuous camera image. For face detection module, it used CBCH algorithm using openCV library from Intel Corporation. For face tracking module, it used the fuzzy controller to control the pan-tilt camera movement smoothly with face detection result. A PCA-FX, which adds class information to PCA, was used for face recognition module. These three procedures were called face feature processor, which were implemented on mobile service robot OMR to verify.
机译:近年来,已经开发了许多移动服务机器人。这些机器人与工业机器人不同。服务机器人面临着人类环境的意外变化。服务机器人需要这么多能力,例如,要识别人们的脸部和声音,能够了解人们对话的能力,以及表达机器人思维等的能力。这项研究被认为是面部检测,面部跟踪和面部识别来自连续相机图像。对于面部检测模块,它使用Intel Corporation使用OpenCV库的CBCH算法。对于面部跟踪模块,它使用模糊控制器与面部检测结果平滑地控制平滑摄像机运动。将PCA-FX添加到PCA的类信息,用于面部识别模块。这三个程序被称为面部特征处理器,其在移动服务机器人OMR上实现以验证。

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