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Face detection using multi-modal features

机译:使用多模式功能的人脸检测

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In this paper, propose efficient methods for reducing false detection rate in face detection procedure when images apply face recognition and face entertainment from web or personal photo. Previous detection methods focused on accurate face detection. So, false detection rate makes a problem when put to practical use. This problem can overcome to use additional information when face detection. Proper information is color. But real color -RGB information is not adequate for face detection. Because RGB information is sensitive to light variations. Thus need to transfer coordination properly to use. Transferred channels are defined with genetic algorithm. After that make a model of facial skin color to score face candidate is real face or not. Propose method can dramatic reduce false detection rate when face detection procedure
机译:在本文中,当图像应用来自Web或个人照片的人脸识别和面部娱乐时,提出了降低面部检测程序中的假检测率的有效方法。以前的检测方法集中于精确的面部检测。因此,假检测率在实际使用时发出问题。在脸部检测时,可以克服此问题以使用其他信息。适当的信息是颜色。但真正的颜色-RGB信息不足以面临脸部检测。因为RGB信息对光变化很敏感。因此,需要正确转移协调以使用。转移的通道以遗传算法定义。在此之后,使面部肤色模型得分面部候选人是真实的面孔。当面部检测程序时,提出方法可以显着降低假检测率

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