OpenCV中提供的训练好的分类器实现人脸检测：级联分类器(Haar特征、Hog特征、LBP算法)。OpenCV中提供的人脸识别方法：LBPH、Eigenfaces、Fisherfaces

Love The Way You Lie 2023-07-13 03:09 53阅读 0赞

# ![20191009191333910.png][][日萌社][Link 1] #

[人工智能AI：Keras PyTorch MXNet TensorFlow PaddlePaddle 深度学习实战（不定时更新）][AI_Keras PyTorch MXNet TensorFlow PaddlePaddle]

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![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70][]

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# **OpenCV提供了用于训练级联分类器的工具，也提供了训练好的用于人脸定位的级联分类器。** #

# **OpenCV提供了三种不同的训练好的级联分类器：Haar级联分类器(使用积分图像快速计算Haar特征的方法)、Hog特征的级联分类器、LBP算法的级联分类器** #

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 1][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 2][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 3][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 4][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 5][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 6][]

# -*- coding: utf-8 -*-
    import cv2
    #读取待检测的图像
    image = cv2.imread('dface3.jpg')
    # 获取xml文件,加载人脸检测器
    faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
    # 色彩转换，转换为灰度图像
    gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
    # 调用函数detectMultiScale
    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor = 1.15,
        minNeighbors = 5,
        minSize = (5,5)
    )
    print(faces)
    #打印输出测试结果
    print("发现{0}个人脸!".format(len(faces)))
    #逐个标记人脸
    for(x,y,w,h) in faces:
        #矩形标注
        # cv2.rectangle(image,(x,y),(x+w,y+w),(0,255,0),2) 
        cv2.circle(image,(int((x+x+w)/2),int((y+y+h)/2)),int(w/2),(0,255,0),2)
    #显示结果
    cv2.imshow("dect",image)
    #保存检测结果
    cv2.imwrite("re.jpg",image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 7][]

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# **LBPH人脸识别** #

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 8][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 9][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 10][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 11][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 12][]

# -*- coding: utf-8 -*-
    import cv2
    import numpy as np
    images=[]
    images.append(cv2.imread("a1.png",cv2.IMREAD_GRAYSCALE))
    images.append(cv2.imread("a2.png",cv2.IMREAD_GRAYSCALE))
    images.append(cv2.imread("b1.png",cv2.IMREAD_GRAYSCALE))
    images.append(cv2.imread("b2.png",cv2.IMREAD_GRAYSCALE))
    labels=[0,0,1,1]
    #print(labels)
    recognizer = cv2.face.LBPHFaceRecognizer_create()
    recognizer.train(images, np.array(labels))  
    predict_image=cv2.imread("a3.png",cv2.IMREAD_GRAYSCALE)
    label,confidence= recognizer.predict(predict_image) 
    print("label=",label)
    print("confidence=",confidence)

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# Eigenfaces人脸识别 #

# ![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 13][] #

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 14][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 15][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 16][]

# -*- coding: utf-8 -*-
    import cv2
    import numpy as np
    images=[]
    images.append(cv2.imread("e01.png",cv2.IMREAD_GRAYSCALE))
    images.append(cv2.imread("e02.png",cv2.IMREAD_GRAYSCALE))
    images.append(cv2.imread("e11.png",cv2.IMREAD_GRAYSCALE))
    images.append(cv2.imread("e12.png",cv2.IMREAD_GRAYSCALE))
    labels=[0,0,1,1]
    #print(labels)
    recognizer = cv2.face.EigenFaceRecognizer_create()
    recognizer.train(images, np.array(labels))  
    predict_image=cv2.imread("eTest.png",cv2.IMREAD_GRAYSCALE)
    label,confidence= recognizer.predict(predict_image) 
    print("label=",label)
    print("confidence=",confidence)

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# **Fisherfaces人脸识别** #

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 17][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 18][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 19][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 20][]

# -*- coding: utf-8 -*-
    import cv2
    import numpy as np
    images=[]
    images.append(cv2.imread("f01.png",cv2.IMREAD_GRAYSCALE))
    images.append(cv2.imread("f02.png",cv2.IMREAD_GRAYSCALE))
    images.append(cv2.imread("f11.png",cv2.IMREAD_GRAYSCALE))
    images.append(cv2.imread("f12.png",cv2.IMREAD_GRAYSCALE))
    labels=[0,0,1,1]
    #print(labels)
    recognizer = cv2.face.FisherFaceRecognizer_create()
    recognizer.train(images, np.array(labels))  
    predict_image=cv2.imread("fTest.png",cv2.IMREAD_GRAYSCALE)
    label,confidence= recognizer.predict(predict_image) 
    print("label=",label)
    print("confidence=",confidence)

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# **人脸数据库 **![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 21][] #

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ppbWlhbzU1MjE0NzU3Mg_size_16_color_FFFFFF_t_70 22][]

[20191009191333910.png]: https://img-blog.csdnimg.cn/20191009191333910.png
[Link 1]: http://www.rimengshe.com/
[AI_Keras PyTorch MXNet TensorFlow PaddlePaddle]: https://blog.csdn.net/zimiao552147572/article/details/88867161
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