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Obtaining Method of Standard Human Face Library in Human Face

机译:在人脸中获得标准人脸图书馆的方法

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Aiming at static state colorful image, human face was detected by combined complexion division technology with edge detection technology. Firstly, optional face areas were obtained by the area threshold value. Secondly, Gabor transform was employed to locating eyes from the optional face area. Finally, optional face areas were normalization by rotating, scale, and clip processing by using returned position coordinate of two eyes. It can be used for human face identification. Experiments result show that normalized face image is realized by those face image detection and emendation methods, and standard human face library is obtained in the end.
机译:针对静态彩色图像,通过与边缘检测技术组合的肤色划分技术检测人体。首先,通过面积阈值获得可选的面部区域。其次,使用Gabor变换从可选的面部区域定位眼睛。最后,通过使用两只眼睛的返回位置坐标来旋转,缩放和夹子处理,可选的面部区域进行标准化。它可用于人脸识别。实验结果表明,由那些面部图像检测和解压缩方法实现了归一化的面部图像,并在末端获得标准人脸库。

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