static public IntelImage CreateIntelImageFromBitmap(System.Drawing.Bitmap bm)
{
var intelImage = new IntelImage(bm.Width, bm.Height, bm.PixelFormat != System.Drawing.Imaging.PixelFormat.Format8bppIndexed);
byte[] pixelBuffer = new byte[bm.Height * intelImage.Stride];
CopyPixelsFromBitmap(bm, pixelBuffer);
intelImage.CopyPixels(pixelBuffer);
return(intelImage);
}
static public IntelImage CreateIntelImageFromBitmapSource(BitmapSource bitmapSource)
{
var intelImage = new IntelImage(bitmapSource.PixelWidth, bitmapSource.PixelHeight, bitmapSource.Format != PixelFormats.Gray8);
// int stride = bitmapSource.PixelWidth * ((bitmapSource.Format.BitsPerPixel + 7) / 8);
byte[] pixelBuffer = new byte[bitmapSource.PixelHeight * intelImage.Stride];
bitmapSource.CopyPixels(pixelBuffer, intelImage.Stride, 0);
intelImage.CopyPixels(pixelBuffer);
return(intelImage);
}
static public IntelImage FlipYIntelImage(IntelImage img)
{
Bitmap tempbm = new Bitmap(img.IplImageStruc().width, img.IplImageStruc().height, img.IplImageStruc().widthStep,
System.Drawing.Imaging.PixelFormat.Format24bppRgb, img.IplImageStruc().imageData);
tempbm.RotateFlip(RotateFlipType.RotateNoneFlipY);
IntelImage _img = CreateIntelImageFromBitmap(tempbm);
tempbm.Dispose();
tempbm = null;
return(_img);
}
static public IntPtr HistEqualize(IntelImage isrc)
{
try
{
//image for processing
IntelImage iimg = new IntelImage(isrc.IplImageStruc().width, isrc.IplImageStruc().height);
//convert src image to ycrcb format
NativeMethods.CvCvtColor(isrc.IplImage(), iimg.IplImage(), NativeMethods.CV_BGR2YCrCb);
//converted src image structure
IplImage iimg_iplimage = iimg.IplImageStruc();
//get all the channels from the
IntPtr y = NativeMethods.cvCreateImage(new CvSize(iimg_iplimage.width, iimg_iplimage.height), 8, 1);
IplImage yimg = (IplImage)Marshal.PtrToStructure(y, typeof(IplImage));
IntPtr cr = NativeMethods.cvCreateImage(new CvSize(iimg_iplimage.width, iimg_iplimage.height), 8, 1);
IplImage crimg = (IplImage)Marshal.PtrToStructure(cr, typeof(IplImage));
IntPtr cb = NativeMethods.cvCreateImage(new CvSize(iimg_iplimage.width, iimg_iplimage.height), 8, 1);
IplImage cbimg = (IplImage)Marshal.PtrToStructure(cb, typeof(IplImage));
NativeMethods.CvSplit(ref iimg_iplimage, ref yimg, ref crimg, ref cbimg);
//****************************
//*******Equalized for y plane only
//the ydest intel image
// IntelImage iydest = new IntelImage(yimg);
// IntPtr ydest = NativeMethods.cvCreateImage(new CvSize(iimg_iplimage.width, iimg_iplimage.height), 8, 1);
// NativeMethods.CvEqualizeHist(y, ydest);
NativeMethods.CvSaveImage(AppDomain.CurrentDomain.BaseDirectory + "\\temp\\~eq.y1.bmp", y);
// NativeMethods.CvSaveImage(AppDomain.CurrentDomain.BaseDirectory + "\\temp\\~eq.cr1.bmp", cr);
// NativeMethods.CvSaveImage(AppDomain.CurrentDomain.BaseDirectory + "\\temp\\~eq.cb1.bmp", cb);
// NativeMethods.CvSaveImage(AppDomain.CurrentDomain.BaseDirectory + "\\temp\\~eq.ydest.bmp", ydest);
// IplImage ydest_iplimage = iydest.IplImageStruc();
//merge back into processing image
// NativeMethods.CvMerge(ref ydest_iplimage, ref crimg, ref cbimg, ref iimg_iplimage);
// IntPtr presult = NativeMethods.cvCreateImage(new CvSize(iimg_iplimage.width, iimg_iplimage.height), 8, 3);
// IntPtr presult = NativeMethods.cvCreateImage(new CvSize(iimg_iplimage.width, iimg_iplimage.height), 8, 1);
// NativeMethods.CvCvtColor(iimg.IplImage(), presult, NativeMethods.CV_YCrCb2BGR);
// IplImage result_img = (IplImage)Marshal.PtrToStructure(presult, typeof(IplImage));
// NativeMethods.CvCopy(ref ydest_iplimage, ref result_img);
// NativeMethods.CvSaveImage(AppDomain.CurrentDomain.BaseDirectory + "\\temp\\~eq.bmp", presult);
// NativeMethods.cvReleaseImage(ref y);
NativeMethods.cvReleaseImage(ref cb);
NativeMethods.cvReleaseImage(ref cr);
//NativeMethods.cvReleaseImage(ref presult);
iimg.Dispose();
iimg = null;
// iydest.Dispose();
// iydest = null;
// return presult;
return(y);
// return ydest;
}catch (Exception ex)
{
System.Windows.MessageBox.Show(ex.ToString());
}
return(IntPtr.Zero);
}
//return "0" for single face and "c"(cache) for multiple face
//for multiple face, the face rectangles are stored in CCommon.cacheRects
//CComon.cacheBm store the 24bit Bitmap for source image
public static string FindFaceAndEyes(BitmapSource srcimage, out System.Drawing.Rectangle facerect, out System.Drawing.Rectangle[] eyesrect)
{
String faceFileName = AppDomain.CurrentDomain.BaseDirectory + "haarcascade_frontalface_alt2.xml";
String eyeFileName = AppDomain.CurrentDomain.BaseDirectory + "haarcascade_eye.xml";
//working with gdi to get 24bit rgb image
System.Drawing.Bitmap bmtest = CCommon.BitmapImage2Bitmap(srcimage);
System.Drawing.Bitmap bmsrc24 = new System.Drawing.Bitmap(bmtest.Width, bmtest.Height, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
System.Drawing.Graphics gbmsrc24 = System.Drawing.Graphics.FromImage(bmsrc24);
gbmsrc24.DrawImageUnscaled(bmtest, 0, 0);
gbmsrc24.Dispose();
bmtest.Dispose();
bmtest = null;
if (cacheBm != null)
{
cacheBm.Dispose();
}
cacheBm = (System.Drawing.Bitmap)bmsrc24.Clone();
//we do scaling if the source is too large
double scale = 1.0;
if (bmsrc24.Height > 500)
{
scale = (double)500 / bmsrc24.Height;
}
System.Drawing.Bitmap bm = new System.Drawing.Bitmap((int)(bmsrc24.Width * scale),
(int)(bmsrc24.Height * scale),
System.Drawing.Imaging.PixelFormat.Format24bppRgb);
System.Drawing.Graphics gbm = System.Drawing.Graphics.FromImage(bm);
//scale down the source image for face dection
gbm.DrawImage(bmsrc24,
new System.Drawing.Rectangle(0, 0, bm.Width, bm.Height),
new System.Drawing.Rectangle(0, 0, bmsrc24.Width, bmsrc24.Height),
System.Drawing.GraphicsUnit.Pixel);
gbm.Dispose();
// bm.Save(AppDomain.CurrentDomain.BaseDirectory +"temp\\~bm.jpg",System.Drawing.Imaging.ImageFormat.Jpeg);
//////////////////////////////////////////
IntelImage _img = CDetectFace.CreateIntelImageFromBitmap(bm);
//IntPtr p_face = CDetectFace.HistEqualize(_img);
bm.Dispose();
bm = null;
string strindex = "";
using (HaarClassifier haarface = new HaarClassifier(faceFileName))
using (HaarClassifier haareye = new HaarClassifier(eyeFileName))
{
var faces = haarface.DetectObjects(_img.IplImage());
// var faces = haarface.DetectObjects(p_face );
if (faces.Count > 0)
{
List <System.Drawing.Rectangle> facerects = new List <System.Drawing.Rectangle>();
for (int i = 0; i < faces.Count; i++)
{
var face = faces.ElementAt(i);
System.Drawing.Rectangle rt = new System.Drawing.Rectangle((int)(face.x / scale),
(int)(face.y / scale),
(int)(face.width / scale),
(int)(face.height / scale));
facerects.Add(rt);
}
cacheRects = facerects;
if (faces.Count > 1)
{
//clean up and return
eyesrect = null;
facerect = facerect = System.Drawing.Rectangle.Empty;
_img.Dispose();
bmsrc24.Dispose();
bmsrc24 = null;
return("c"); //cached
}
}
else
{
cacheRects.Clear();
}
//only handle 1 face
if (faces.Count == 1)
{
var face = faces.ElementAt(0);
facerect = new System.Drawing.Rectangle((int)(face.x / scale),
(int)(face.y / scale),
(int)(face.width / scale),
(int)(face.height / scale));
int x = facerect.X, y = facerect.Y, h0 = facerect.Height, w0 = facerect.Width;
//to handle oversize face area
double rescale = 1.0;
if (h0 > 300)
{
rescale = 300.0 / h0;
}
System.Drawing.Rectangle temprect = new System.Drawing.Rectangle(x, y, w0, 10 * h0 / 16);
System.Drawing.Bitmap bm_eyes = bmsrc24.cropAtRect(temprect);
bm_eyes.Save(AppDomain.CurrentDomain.BaseDirectory + "temp\\~eye.bmp", System.Drawing.Imaging.ImageFormat.Bmp);
IntelImage image_eyes = CDetectFace.CreateIntelImageFromBitmap(bm_eyes);
//resize eyes area for better detection
IntelImage image_eyes2X = new IntelImage((int)(image_eyes.IplImageStruc().width *2 * rescale),
(int)(image_eyes.IplImageStruc().height *2 * rescale));
NativeMethods.CvResize(image_eyes.IplImage(), image_eyes2X.IplImage(), NativeMethods.CV_INTER_CUBIC);
IntPtr p_eq_img_eyes = CDetectFace.HistEqualize(image_eyes2X);
var eyes = haareye.DetectObjects(p_eq_img_eyes);
////clean up
NativeMethods.cvReleaseImage(ref p_eq_img_eyes);
image_eyes.Dispose();
image_eyes = null;
bm_eyes.Dispose();
image_eyes2X.Dispose();
image_eyes2X = null;
if (eyes.Count > 0)
{
eyesrect = new System.Drawing.Rectangle[eyes.Count];
for (int i = 0; i < eyesrect.Length; i++)
{
var eye = eyes.ElementAt(i);
//note that we had scale the eyes area by 2, so we scale back
eyesrect[i] = new System.Drawing.Rectangle((int)(eye.x / (2 * rescale)),
(int)(eye.y / (2 * rescale)),
(int)(eye.width / (2 * rescale)),
(int)(eye.height / (2 * rescale)));
}
int mineyesize = (h0 / 12);
int maxeyesize = (h0 / 3);
//sorting
var tempeyeslist = eyesrect.ToList();
//dist to center of face
// <-1/2 w -->
// | | |
// |<-x ->o<d>| |
// | | |
// | | |
// | | |
// o=center of eye
// x= x dist to center of eye
// d= difference of 1/2 w and x
// = distance of eye center to center of face
// the further this distance, the more likely it is an eye
int half_facewidth = facerect.Width / 2;
tempeyeslist = tempeyeslist.OrderByDescending(eye => Math.Abs(eye.X + eye.Width / 2 - (half_facewidth))).ToList();
//size: should be within min and max eye size
tempeyeslist = tempeyeslist.OrderByDescending(eye => (eye.Width > mineyesize)).ToList();
tempeyeslist = tempeyeslist.OrderByDescending(eye => (eye.Width < maxeyesize)).ToList();
eyesrect = tempeyeslist.ToArray();
}
else
{
eyesrect = null;
}
}
else
{
facerect = System.Drawing.Rectangle.Empty;
eyesrect = null;
}
}
//NativeMethods.cvReleaseImage(ref p_face );
_img.Dispose();
bmsrc24.Dispose();
bmsrc24 = null;
return(strindex);
}
//Load from cache CCommon cacheBm and cacheRects
public static void FindEyesFromCache(int faceindex, out System.Drawing.Rectangle[] eyesrect)
{
String eyeFileName = AppDomain.CurrentDomain.BaseDirectory + "haarcascade_eye.xml";
using (HaarClassifier haareye = new HaarClassifier(eyeFileName))
{
var face = cacheRects.ElementAt(faceindex);
var facerect = new System.Drawing.Rectangle((int)(face.X),
(int)(face.Y),
(int)(face.Width),
(int)(face.Height));
int x = facerect.X, y = facerect.Y, h0 = facerect.Height, w0 = facerect.Width;
//to handle oversize face area
double rescale = 1.0;
if (h0 > 300)
{
rescale = 300.0 / h0;
}
System.Drawing.Rectangle temprect = new System.Drawing.Rectangle(x, y, w0, 10 * h0 / 16);
System.Drawing.Bitmap bm_eyes = cacheBm.cropAtRect(temprect);
bm_eyes.Save(AppDomain.CurrentDomain.BaseDirectory + "temp\\~eye.bmp", System.Drawing.Imaging.ImageFormat.Bmp);
IntelImage image_eyes = CDetectFace.CreateIntelImageFromBitmap(bm_eyes);
//resize eyes area for better detection
IntelImage image_eyes2X = new IntelImage((int)(image_eyes.IplImageStruc().width * 2 * rescale),
(int)(image_eyes.IplImageStruc().height * 2 * rescale));
NativeMethods.CvResize(image_eyes.IplImage(), image_eyes2X.IplImage(), NativeMethods.CV_INTER_CUBIC);
IntPtr p_eq_img_eyes = CDetectFace.HistEqualize(image_eyes2X);
var eyes = haareye.DetectObjects(p_eq_img_eyes);
////clean up
NativeMethods.cvReleaseImage(ref p_eq_img_eyes);
image_eyes.Dispose();
image_eyes = null;
bm_eyes.Dispose();
image_eyes2X.Dispose();
image_eyes2X = null;
if (eyes.Count > 0)
{
eyesrect = new System.Drawing.Rectangle[eyes.Count];
for (int i = 0; i < eyesrect.Length; i++)
{
var eye = eyes.ElementAt(i);
//note that we had scale the eyes area by 2, so we scale back
eyesrect[i] = new System.Drawing.Rectangle((int)(eye.x / (2 * rescale)),
(int)(eye.y / (2 * rescale)),
(int)(eye.width / (2 * rescale)),
(int)(eye.height / (2 * rescale)));
}
int mineyesize = (h0 / 12);
int maxeyesize = (h0 / 3);
//sorting
var tempeyeslist = eyesrect.ToList();
//dist to center of face
// <-1/2 w -->
// | | |
// |<-x ->o<d>| |
// | | |
// | | |
// | | |
// o=center of eye
// x= x dist to center of eye
// d= difference of 1/2 w and x
// = distance of eye center to center of face
// the further this distance, the more likely it is an eye
int half_facewidth = facerect.Width / 2;
tempeyeslist = tempeyeslist.OrderByDescending(eye => Math.Abs(eye.X + eye.Width / 2 - (half_facewidth))).ToList();
//size: should be within min and max eye size
tempeyeslist = tempeyeslist.OrderByDescending(eye => (eye.Width > mineyesize)).ToList();
tempeyeslist = tempeyeslist.OrderByDescending(eye => (eye.Width < maxeyesize)).ToList();
eyesrect = tempeyeslist.ToArray();
}
else
{
eyesrect = null;
}
}
}
