利用OpenCV的人脸检测给头像带上圣诞帽
- - CSDN博客综合推荐文章采用一张圣诞帽的png图像作为素材,. 利用png图像背景是透明的,贴在背景图片上就是戴帽子的效果了. 人脸检测的目的主要是为了确定贴帽子的位置,类似ps中自由变换的功能,检测到人脸中间的位置,resize圣诞帽子和人脸大小匹配,确定位置,贴上去,ok. 代码:非常简洁,根据参考博客给出的代码,由OpenCV自带的人脸检测代码经过简单修改即可.
原图:
效果:
原理其实很简单:
采用一张圣诞帽的png图像作为素材,
利用png图像背景是透明的,贴在背景图片上就是戴帽子的效果了。
人脸检测的目的主要是为了确定贴帽子的位置,类似ps中自由变换的功能,检测到人脸中间的位置,resize圣诞帽子和人脸大小匹配,确定位置,贴上去,ok!
代码:非常简洁,根据参考博客给出的代码,由OpenCV自带的人脸检测代码经过简单修改即可。
// getheader.cpp : 定义控制台应用程序的入口点。 // #include "stdafx.h" #include "opencv2/objdetect/objdetect.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include <iostream> #include <stdio.h> using namespace std; using namespace cv; #pragma comment(lib,"opencv_core2410d.lib") #pragma comment(lib,"opencv_highgui2410d.lib") //#pragma comment(lib,"opencv_objdetect2410d.lib") #pragma comment(lib,"opencv_imgproc2410d.lib") /** Function Headers */ void detectAndDisplay( Mat frame ); /** Global variables */ //-- Note, either copy these two files from opencv/data/haarscascades to your current folder, or change these locations String face_cascade_name = "D:\\Program Files\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml"; String eyes_cascade_name = "D:\\Program Files\\opencv\\sources\\data\\haarcascades\\haarcascade_eye_tree_eyeglasses.xml"; CascadeClassifier face_cascade; CascadeClassifier eyes_cascade; string window_name = "Capture - Face detection"; RNG rng(12345); const int FRAME_WIDTH = 1280; const int FRAME_HEIGHT = 240; /** * @function main */ int main( void ) { CvCapture* capture; //VideoCapture capture; Mat frame; //-- 1. Load the cascades if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; }; if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; }; frame = imread("19.jpg");//背景图片 //-- 3. Apply the classifier to the frame if( !frame.empty() ) { detectAndDisplay( frame ); } waitKey(0); return 0; } void mapToMat(const cv::Mat &srcAlpha, cv::Mat &dest, int x, int y) { int nc = 3; int alpha = 0; for (int j = 0; j < srcAlpha.rows; j++) { for (int i = 0; i < srcAlpha.cols*3; i += 3) { alpha = srcAlpha.ptr<uchar>(j)[i / 3*4 + 3]; //alpha = 255-alpha; if(alpha != 0) //4通道图像的alpha判断 { for (int k = 0; k < 3; k++) { // if (src1.ptr<uchar>(j)[i / nc*nc + k] != 0) if( (j+y < dest.rows) && (j+y>=0) && ((i+x*3) / 3*3 + k < dest.cols*3) && ((i+x*3) / 3*3 + k >= 0) && (i/nc*4 + k < srcAlpha.cols*4) && (i/nc*4 + k >=0) ) { dest.ptr<uchar>(j+y)[(i+x*nc) / nc*nc + k] = srcAlpha.ptr<uchar>(j)[(i) / nc*4 + k]; } } } } } } /** * @function detectAndDisplay */ void detectAndDisplay( Mat frame ) { std::vector<Rect> faces; Mat frame_gray; Mat hatAlpha; hatAlpha = imread("2.png",-1);//圣诞帽的图片 cvtColor( frame, frame_gray, COLOR_BGR2GRAY ); equalizeHist( frame_gray, frame_gray ); //-- Detect faces face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) ); for( size_t i = 0; i < faces.size(); i++ ) { Point center( faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2 ); // ellipse( frame, center, Size( faces[i].width/2, faces[i].height/2), 0, 0, 360, Scalar( 255, 0, 255 ), 2, 8, 0 ); // line(frame,Point(faces[i].x,faces[i].y),center,Scalar(255,0,0),5); Mat faceROI = frame_gray( faces[i] ); std::vector<Rect> eyes; //-- In each face, detect eyes eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) ); for( size_t j = 0; j < eyes.size(); j++ ) { Point eye_center( faces[i].x + eyes[j].x + eyes[j].width/2, faces[i].y + eyes[j].y + eyes[j].height/2 ); int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 ); // circle( frame, eye_center, radius, Scalar( 255, 0, 0 ), 3, 8, 0 ); } // if(eyes.size()) { resize(hatAlpha,hatAlpha,Size(faces[i].width, faces[i].height),0,0,INTER_LANCZOS4); // mapToMat(hatAlpha,frame,center.x+2.5*faces[i].width,center.y-1.3*faces[i].height); mapToMat(hatAlpha,frame,faces[i].x,faces[i].y-0.8*faces[i].height); } } //-- Show what you got imshow( window_name, frame ); imwrite("merry christmas.jpg",frame); }
参考文献:
http://blog.csdn.net/lonelyrains/article/details/50388999
http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html