Face Detection and Recognition System Based on QT and opencv (1)

Face recognition is divided into two steps

1. Face detection is the first implementation. You need to frame the face when displaying the face. Of course, there are many algorithms, and there are some human eyes that can detect the nose.

This is mainly used

Const char * facecascadefilename = "haarcascade_frontalface_alt.xml ";

Detect_and_draw (iplimagebuffer, storage, cascade );

This function is used to detect faces and draw frames as follows:

The main code is as follows:

Void chenaini: detect_and_draw (iplimage * IMG, cvmemstorage * storage, cvhaarclassifiercascade * cascade)
{
Double scale = 1.2;
Static cvscalar colors [] = {
{0, 0, 255 },{ {0,128,255 }}, {0,255,255 },{ 0,255, 0 }},
{255,128, 0 }},{ {255,255, 0 }},{ {255, 0 }}
}; // Just some pretty colors to draw

Iplimage * gray = cvcreateimage (cvsize (IMG-> width, IMG-> height), 8, 1 );
Iplimage * small_img = cvcreateimage (cvsize (cvround (IMG-> width/scale), cvround (IMG-> height/scale), 8, 1 );
Cvcvtcolor (IMG, gray, cv_bgr2gray );
Cvresize (Gray, small_img, cv_inter_linear );

Cvequalizehist (small_img, small_img); cvclearmemstorage (storage );
Double T = (double) cvgettickcount ();
Cvsize min = cvsize (0, 0 );
Cvsize max = cvsize (100,100 );
Cvseq * objects = cvhaardetectobjects (small_img,
Cascade, storage,
1.1,
3, 0/* cv_haar_do_canny_pruning */,
Min,
Max
);

T = (double) cvgettickcount ()-T;
Printf ("detection time = % GMS \ n", t/(double) cvgettickfrequency () * 1000 .));

// Loop through found objects and draw boxes around them
For (INT I = 0; I <(objects? Objects-> total: 0); ++ I)
{
Cvrect * r = (cvrect *) cvgetseqelem (objects, I );
Cvrectangle (IMG, cvpoint (R-> X * scale, R-> y * scale), cvpoint (R-> X + R-> width) * scale, (R-> Y + R-> height) * scale), colors [I % 8]);
}
For (INT I = 0; I <(objects? Objects-> total: 0); I ++)
{
Cvrect * r = (cvrect *) cvgetseqelem (objects, I );
Cvpoint center;
Int radius;
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 );
Cvcircle (IMG, center, radius, colors [I % 8], 3, 8, 0 );
}

Qimage image (uchar *) IMG-> imagedata, IMG-> width, IMG-> height, qimage: format_rgb888 );

UI-> label_shipin-> clear ();
UI-> label_shipin-> setscaledcontents (true );
UI-> label_shipin-> setpixmap (qpixmap: fromimage (image ));
Rs = VD-> unget_frame ();
Cvreleaseimage (& IMG );

}

 

 

Face Detection and Recognition System Based on QT and opencv (1)