はじめに
OpenCVで顔認識を行うプログラム。
環境
「OpenCVの環境構築」の記事を参照。
PERSOL PC380SN
使用したUSBカメラ。
ChipはSN9C102。
ドライバは本家から持ってくる。
顔の学習データ
OpenCVを解凍して下記からコピーしておく。
やはり検出精度は低い・・・。
opencv\data\haarcascades\haarcascade_frontalface_default.xml
コンパイル
「OpenCVとUSBカメラと顔検出」の記事を参照。
ソース
自分用。
グレー化、均一化は不要と思ったので未実装。
検出した顔に貼り付ける画像は適当に準備する。
ファイル名の拡張子は「cpp」にする。
#include <opencv2/opencv.hpp>
// 静的ライブラリを使う場合はコメントをとる
//今のところ私の環境ではコマンドラインでコンパイル出来ない。
//#define OPENCV_STATICLIB
#ifdef OPENCV_STATICLIB
#pragma comment(lib, "comctl32.Lib")
#pragma comment(lib, "vfw32.lib")
#ifdef _DEBUG
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_core231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_highgui231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_imgproc231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_calib3d231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_contrib231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_features2d231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_flann231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_gpu231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_legacy231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_ml231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_objdetect231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_ts231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_video231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\zlibd.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\libtiffd.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\libpngd.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\libjpegd.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\libjasperd.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\tbb_debug.lib")
#pragma comment(linker, "/NODEFAULTLIB:\"libcmtd.lib\"")
#pragma comment(linker, "/NODEFAULTLIB:\"msvcprtd.lib\"")
#else
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_core231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_highgui231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_imgproc231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_calib3d231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_contrib231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_features2d231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_flann231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_gpu231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_legacy231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_ml231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_objdetect231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_ts231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\opencv_video231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\zlib.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\libtiff.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\libpng.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\libjpeg.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\3rdparty\\libjasper.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\tbb.lib")
#pragma comment(linker, "/NODEFAULTLIB:\"libcmt.lib\"")
#pragma comment(linker, "/NODEFAULTLIB:\"msvcprt.lib\"")
#endif
#else
#ifdef _DEBUG
#pragma comment(lib, "C:\\opencv\\lib\\opencv_core231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_highgui231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_imgproc231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_calib3d231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_contrib231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_features2d231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_flann231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_gpu231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_legacy231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_ml231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_objdetect231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_ts231d.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_video231d.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\tbb_debug.lib")
#else
#pragma comment(lib, "C:\\opencv\\lib\\opencv_core231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_highgui231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_imgproc231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_calib3d231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_contrib231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_features2d231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_flann231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_gpu231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_legacy231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_ml231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_objdetect231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_ts231.lib")
#pragma comment(lib, "C:\\opencv\\lib\\opencv_video231.lib")
#pragma comment(lib, "C:\\opencv\\staticlib\\tbb.lib")
#endif
#endif
int main( int argc, char **argv )
{
int i;
int input_key;
int fps;
int video_width, video_height;
CvCapture *frame;
CvVideoWriter *writer;
IplImage *img_src;
char *wn_src = "win_src";
double t;
CvRect *r;
CvPoint center;
int radius;
IplImage *img_face, *img_resize;
static CvScalar colors[] =
{
{{0, 0, 255}},
{{0, 128, 255}},
{{0, 255, 255}},
{{0, 255, 0}},
{{255, 128, 0}},
{{255, 255, 0}},
{{255, 0, 0}},
{{255, 0, 255}}
};
video_width = 640;
video_height = 480;
fps = 4; // 29.97
// 顔に貼り付ける画像
img_face = cvLoadImage( "hoge.jpg" );
if ( img_face == NULL )
{
printf("Can not load image file. \n");
return EXIT_FAILURE;
}
// 正面顔検出器の読み込み
CvHaarClassifierCascade *cascade = (CvHaarClassifierCascade *)cvLoad("haarcascade_frontalface_default.xml");
if ( cascade == NULL )
{
printf("Not found cascade file. \n");
return EXIT_FAILURE;
}
// 検出用メモリの確保
CvMemStorage *storage = cvCreateMemStorage( 0 );
cvClearMemStorage ( storage );
// 顔検出情報シーケンス
CvSeq *face;
// Window作成
cvNamedWindow(wn_src, CV_WINDOW_AUTOSIZE);
// Windowサイズの変更
//cvResizeWindow(wn_src, video_width, video_height);
// カメラ映像の取得
frame = cvCaptureFromCAM( 0 );
if ( frame == NULL )
{
printf("Not found video camera. \n");
return EXIT_FAILURE;
}
// 初期フレーム取得
img_src = cvQueryFrame( frame );
// ビデオ保存
// 2: fourcc is possible to pass -1 in order to choose compression from dialog
// 5: is_color is currently supported on Windows only.
// writer = cvCreateVideoWriter("test.avi", -1, fps, cvSize(video_width, video_height), 0);
while ( 1 )
{
// 1フレーム取得
img_src = cvQueryFrame( frame );
// グレー化
//cvCvtColor (src_img, src_gray, CV_BGR2GRAY);
// ヒストグラムの均一化
//cvEqualizeHist (src_gray, src_gray);
cvClearMemStorage( storage );
t = ( double )cvGetTickCount();
// 検出
face = cvHaarDetectObjects(img_src, cascade, storage);
t = ( double )cvGetTickCount() - t;
t = t / ( 1000.0 * ( double )cvGetTickFrequency() );
printf( "検出時間： %g [ms] \n", t );
for (i = 0; i < face->total; i++)
{
// 顔の位置情報を取得
CvRect *faceRect = ( CvRect *)cvGetSeqElem(face, i);
/*
// 検出した顔に矩形を描画する
cvRectangle(img_src,
cvPoint(faceRect->x, faceRect->y),
cvPoint(faceRect->x + faceRect->width, faceRect->y + faceRect->height),
CV_RGB(0, 255 ,0),
3, CV_AA);
*/
/*
// 検出した顔に円を描画する
r = ( CvRect *)cvGetSeqElem( face, i );
center.x = cvRound( (r->x + 0.5 * r->width ) );
center.y = cvRound( (r->y + 0.5 * r->height ) );
radius = cvRound( 0.25 * ( r->width + r->height ) );
cvCircle( img_src, center, radius, colors[ i % 8 ], 3, 8, 0 );
*/
// 検出した顔に画像を描画する
CvRect rect;
rect = *( CvRect *)cvGetSeqElem( face, i );
cvSetImageROI( img_src, rect );
img_resize = cvCreateImage( cvSize( rect.width, rect.height), img_face->depth, img_face->nChannels );
cvResize( img_face, img_resize );
cvCopy( img_resize, img_src );
cvResetImageROI( img_src );
}
// 1フレーム表示
cvShowImage(wn_src, img_src);
// キー入力を待つ [ms]
input_key = cvWaitKey( 1000 );
// ESCキー入力で終了
if ( input_key == 27 )
{
break;
}
}
// 全Windowを破棄
cvDestroyAllWindows();
cvReleaseCapture( &frame );
// cvReleaseVideoWriter( &writer );
// 用意したメモリストレージを解放
cvReleaseMemStorage( &storage );
// カスケード識別器の解放
cvReleaseHaarClassifierCascade( &cascade );
return EXIT_SUCCESS;
}
created by Rinker
¥3,630
(2025/11/11 06:58:43時点 楽天市場調べ-詳細)
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