[OpenCV] 顔検出サンプル – 端くれプログラマの備忘録

ざっくり流れは、カスケード分類器に学習済み識別器を食わせて検出実行。

参考サイトのソースコードを拝借してビルド＆実行。

#include "stdafx.h"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/objdetect.hpp>
#include <iostream>

#ifdef _DEBUG
#pragma comment(lib,"C:\\OpenCV\\build\\x64\\vc14\\lib\\opencv_world310d.lib")
#else
#pragma comment(lib,"C:\\OpenCV\\build\\x64\\vc14\\lib\\opencv_world310.lib")
#endif

using namespace cv;
using namespace std;

Mat detectFaceInImage(Mat &image, string &cascade_file)
{
    CascadeClassifier cascade;
    cascade.load(cascade_file);

    vector<Rect> faces;
    cascade.detectMultiScale(image, faces, 1.1, 3, 0, Size(20, 20));

    for (int i = 0; i < faces.size(); i++) {
        rectangle(image, Point(faces[i].x, faces[i].y), Point(faces[i].x + faces[i].width, faces[i].y + faces[i].height), Scalar(0, 200, 0), 3, CV_AA);
    }
    return image;
}

int main(int argc, char const *argv[])
{
    Mat image = imread("lena.png");
    string filename = "C:\\OpenCV\\sources\\data\\haarcascades\\haarcascade_frontalface_default.xml";
    Mat detectFaceImage = detectFaceInImage(image, filename);
    imshow("detect face", detectFaceImage);
    waitKey(0);

    return 0;
}

#include "stdafx.h"

#include <opencv2/core/core.hpp>

#include <opencv2/highgui/highgui.hpp>

#include <opencv2/imgproc.hpp>

#include <opencv2/objdetect.hpp>

#include <iostream>

#ifdef _DEBUG

#pragma comment(lib,"C:\\OpenCV\\build\\x64\\vc14\\lib\\opencv_world310d.lib")

#else

#pragma comment(lib,"C:\\OpenCV\\build\\x64\\vc14\\lib\\opencv_world310.lib")

#endif

using namespace cv;

using namespace std;

Mat detectFaceInImage(Mat &image, string &cascade_file)

{

CascadeClassifier cascade;

cascade.load(cascade_file);

vector<Rect> faces;

cascade.detectMultiScale(image, faces, 1.1, 3, 0, Size(20, 20));

for (int i = 0; i < faces.size(); i++) {

rectangle(image, Point(faces[i].x, faces[i].y), Point(faces[i].x + faces[i].width, faces[i].y + faces[i].height), Scalar(0, 200, 0), 3, CV_AA);

}

return image;

}

int main(int argc, char const *argv[])

{

Mat image = imread("lena.png");

string filename = "C:\\OpenCV\\sources\\data\\haarcascades\\haarcascade_frontalface_default.xml";

Mat detectFaceImage = detectFaceInImage(image, filename);

imshow("detect face", detectFaceImage);

waitKey(0);

return 0;

}

できた。

参考サイト

OpenCVの使い方(8) 顔検出を行ってみる – のんびりしているエンジニアの日記
http://nonbiri-tereka.hatenablog.com/entry/2015/05/13/063713

OpenCV: Face Detection using Haar Cascades
http://docs.opencv.org/master/d7/d8b/tutorial_py_face_detection.html#gsc.tab=0

opencv – Haar Cascades vs. LBP Cascades in Face Detection – Stack Overflow
http://stackoverflow.com/questions/8791178/haar-cascades-vs-lbp-cascades-in-face-detection

参考サイト

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