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OpenCV实现人脸检测（face detection） 代码2015-05-23人脸检测使用detectMultiScale函数和CascadeClassifier（级联分类器）;

需要注意的是: VS2012, 使用低版本的OpenCV（如2.4.3）会出现问题, 导致CascadeClassifier无法加载（load）模型;

升级至OpenCV2.4.7即可, 并使用VS2012的库;

代码如下（VS2012）:

#include <opencv.hpp>#include <iostream>#include <iterator>#include <string>#include <stdio.h>using namespace std;using namespace cv;void detectAndDraw（ Mat& img, CascadeClassifier& cascade,CascadeClassifier& nestedCascade,double scale, bool tryflip ）;string cascadeName = "haarcascade_frontalface_alt.xml";string nestedCascadeName = "haarcascade_eye_tree_eyeglasses.xml";int main（ int argc, const char** argv ）{cv::CascadeClassifier cascade, nestedCascade;double scale = 1;bool tryflip = true;cv::Mat image = imread（ "girls.jpg", 1 ）;cascade.load（ cascadeName ）;nestedCascade.load（ nestedCascadeName ）;detectAndDraw（ image, cascade, nestedCascade, scale, tryflip）;cv::waitKey（0）;return 0;}void detectAndDraw（ Mat& img, CascadeClassifier& cascade,CascadeClassifier& nestedCascade,double scale, bool tryflip ）{int i = 0;double t = 0;vector<Rect> faces, faces2;const static Scalar colors[] ={ CV_RGB（0,0,255）,CV_RGB（0,128,255）,CV_RGB（0,255,255）,CV_RGB（0,255,0）,CV_RGB（255,128,0）,CV_RGB（255,255,0）,CV_RGB（255,0,0）,CV_RGB（255,0,255）} ;Mat gray, smallImg（ cvRound （img.rows/scale）, cvRound（img.cols/scale）, CV_8UC1 ）;cvtColor（ img, gray, CV_BGR2GRAY ）;resize（ gray, smallImg, smallImg.size（）, 0, 0, INTER_LINEAR ）;equalizeHist（ smallImg, smallImg ）;// t = （double）cvGetTickCount（）;cascade.detectMultiScale（ smallImg, faces,1.1, 2, 0//|CV_HAAR_FIND_BIGGEST_OBJECT|CV_HAAR_DO_ROUGH_SEARCH //效果最好//|CV_HAAR_SCALE_IMAGE//|CV_HAAR_DO_CANNY_PRUNING,Size（30, 30） ）;if（ tryflip ）{flip（smallImg, smallImg, 1）; //翻转cascade.detectMultiScale（ smallImg, faces2, 1.1, 2, 0 //|CV_HAAR_FIND_BIGGEST_OBJECT |CV_HAAR_DO_ROUGH_SEARCH //|CV_HAAR_SCALE_IMAGE //|CV_HAAR_DO_CANNY_PRUNING , Size（30, 30） ）;for（ vector<Rect>::const_iterator r = faces2.begin（）; r ！= faces2.end（）; r++ ）{faces.push_back（Rect（smallImg.cols - r->x - r->width, r->y, r->width, r->height））;}}t = （double）cvGetTickCount（） - t;printf（ "detection time = %g ms
", t/（（double）cvGetTickFrequency（）*1000.） ）;for（ vector<Rect>::const_iterator r = faces.begin（）; r ！= faces.end（）; r++, i++ ）{Mat smallImgROI;vector<Rect> nestedObjects;Point center;Scalar color = colors[i%8];int radius;double aspect_ratio = （double）r->width/r->height;if（ 0.75 < aspect_ratio && aspect_ratio < 1.3 ）{center.x = cvRound（（r->x + r->width*0.5）*scale）;center.y = cvRound（（r->y + r->height*0.5）*scale）;radius = cvRound（（r->width + r->height）*0.25*scale）;circle（ img, center, radius, color, 3, 8, 0 ）;}elserectangle（ img, cvPoint（cvRound（r->x*scale）, cvRound（r->y*scale））, cvPoint（cvRound（（r->x + r->width-1）*scale）, cvRound（（r->y + r->height-1）*scale））, color, 3, 8, 0）;if（ nestedCascade.empty（） ）continue;smallImgROI = smallImg（*r）;nestedCascade.detectMultiScale（ smallImgROI, nestedObjects,1.1, 2, 0//|CV_HAAR_FIND_BIGGEST_OBJECT//|CV_HAAR_DO_ROUGH_SEARCH//|CV_HAAR_DO_CANNY_PRUNING|CV_HAAR_SCALE_IMAGE,Size（30, 30） ）;for（ vector<Rect>::const_iterator nr = nestedObjects.begin（）; nr ！= nestedObjects.end（）; nr++ ）{center.x = cvRound（（r->x + nr->x + nr->width*0.5）*scale）;center.y = cvRound（（r->y + nr->y + nr->height*0.5）*scale）;radius = cvRound（（nr->width + nr->height）*0.25*scale）;circle（ img, center, radius, color, 3, 8, 0 ）;}}cv::imshow（ "result", img ）;}

作者：csdn博客 Spike_King