FaceRecognitionSVD:使用奇异值分解的人脸识别-源码

上传者: 42151305 | 上传时间: 2021-09-13 10:20:50 | 文件大小: 280KB | 文件类型: ZIP
使用奇异值分解的人脸识别。 该识别算法使用基本对象识别方法,即奇异值分解。 使用SVD函数,您可以训练自己的图像并在该图像上执行SVD,然后可以对SVD函数返回的U(特征脸)向量进行一些数学运算测试。 面部图像的数据集在“ dataimage”中。 该代码显示在face_recognition.py文件中。 测试图像位于test_img文件夹中。达到的准确度为85%。

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