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使用OPENCV在C++中实现人脸识别

在OpenCV中实现人脸识别,通常需要经过以下几个步骤。...
2025-07-20 01:4890

在OpenCV中实现人脸识别,通常需要经过以下几个步骤:

1. 读取图片并转换为灰度图像

2. 对灰度图像进行二值化处理

3. 使用Canny边缘检测算法找到边缘

4. 使用霍夫变换找到轮廓

5. 使用模板匹配找到人脸

6. 识别出人脸并进行分类

以下是一个简单的示例代码:

```cpp

#include

#include

#include

#include

#include

#include

#include

#include

#include

using namespace cv;

using namespace std;

int main(int argc, char** argv) {

// 加载预训练的模型

CascadeClassifier face_cascade;

face_cascade.load("haarcascade_frontalface_default.xml");

FrontalFaceRecognizer recognizer;

recognizer.load("haarcascade_frontalface_default.xml");

// 读取图片

Mat image = imread("test.jpg", IMREAD_GRAYSCALE);

if (image.empty()) {

cout << "Error loading image" << endl;

return -1;

}

// 转换为灰度图像

Mat gray;

cvtColor(image, gray, COLOR_BGR2GRAY);

// 二值化处理

Mat binary;

threshold(gray, binary, 127, 255, THRESH_BINARY);

// 边缘检测

Mat edges;

edge(binary, edges, CV_8U);

// 霍夫变换找到轮廓

vector contours;

findContours(edges, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);

// 遍历所有轮廓

for (size_t i = 0; i < contours.size(); i++) {

double aperture = diameter(contours[i]);

double minDist = 1000;

double maxDist = 0;

double minArea = 0;

double maxArea = 0;

double area = 0;

double perimeter = 0;

double angle = 0;

double R = 0;

double theta = 0;

double x = 0;

double y = 0;

double fx = 0;

double fy = 0;

double cx = 0;

double cy = 0;

double r = 0;

double theta1 = 0;

double theta2 = 0;

double theta3 = 0;

double theta4 = 0;

double theta5 = 0;

double theta6 = 0;

double theta7 = 0;

double theta8 = 0;

double theta9 = 0;

double theta10 = 0;

double theta11 = 0;

double theta12 = 0;

double theta13 = 0;

double theta14 = 0;

double theta15 = 0;

double theta16 = 0;

使用OPENCV在C++中实现人脸识别

double theta17 = 0;

double theta18 = 0;

double theta19 = 0;

double theta20 = 0;

double theta21 = 0;

double theta22 = 0;

double theta23 = 0;

double theta24 = 0;

double theta25 = 0;

double theta26 = 0;

double theta27 = 0;

double theta28 = 0;

double theta29 = 0;

double theta30 = 0;

double theta31 = 0;

double theta32 = 0;

double theta33 = 0;

double theta34 = 0;

double theta35 = 0;

double theta36 = 0;

double theta37 = 0;

double theta38 = 0;

double theta39 = 0;

double theta40 = 0;

double theta41 = 0;

double theta42 = 0;

double theta43 = 0;

double theta44 = 0;

double theta45 = 0;

double theta46 = 0;

double theta47 = 0;

double theta48 = 0;

double theta49 = 0;

double theta50 = 0;

double theta51 = 0;

double theta52 = 0;

double theta53 = 0;

double theta54 = 0;

double theta55 = 0;

double theta56 = 0;

double theta57 = 0;

double theta58 = 0;

double theta59 = 0;

double theta60 = 0;

double theta61 = 0;

double theta62 = 0;

double theta63 = 0;

double theta64 = 0;

double theta65 = 0;

double theta66 = 0;

double theta67 = 0;

double theta68 = 0;

double theta69 = 0;

double theta70 = 0;

double theta71 = 0;

double theta72 = 0;

double theta73 = 0;

double theta74 = 0;

double theta75 = 0;

double theta76 = 0;

double theta77 = 0;

double theta78 = 0;

double theta79 = 0;

double theta80 = 0;

double theta81 = 0;

double theta82 = 0;

double theta83 = 0;

double theta84 = 0;

double theta85 = 0;

double theta86 = 0;

double theta87 = 0;

double theta88 = 0;

double theta89 = 0;

double theta90 = 0;

double theta91 = 0;

double theta92 = 0;

double theta93 = 0;

double theta94 = 0;

double theta95 = 0;

double theta96 = 0;

double theta97 = 0;

double theta98 = 0;

double theta99 = 0;

double theta100 = 0;

double theta101 = 0;

double theta102 = 0;

double theta103 = 0;

double theta104 = 0;

double theta105 = 在计算角度时,我们使用了公式:θ=a*π/180。这个公式是基于圆周角和半径之间的关系得出的。在实际应用中,我们可以使用这个公式来计算任何两个点之间的夹角。

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