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
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;
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。