/** Global variables */
String face_cascade_name = "lbpcascade_frontalface.xml";
+String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
+CascadeClassifier eyes_cascade;
string window_name = "Capture - Face detection";
+
RNG rng(12345);
/**
//-- 1. Load the cascade
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; };
//-- 2. Read the video stream
capture = cvCaptureFromCAM( -1 );
cvtColor( frame, frame_gray, CV_BGR2GRAY );
equalizeHist( frame_gray, frame_gray );
+
//-- Detect faces
face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(80, 80) );
for( int i = 0; i < faces.size(); i++ )
{
- Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
- ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 0 ), 2, 8, 0 );
+ 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) );
+ if( eyes.size() == 2)
+ {
+ //-- Draw the face
+ Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
+ ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 0 ), 2, 8, 0 );
+
+ for( int j = 0; j < eyes.size(); j++ )
+ { //-- Draw the eyes
+ Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
+ int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
+ circle( frame, center, radius, Scalar( 255, 0, 255 ), 3, 8, 0 );
+ }
+ }
+
}
//-- Show what you got
imshow( window_name, frame );