public IList <RoI> DetectFaces(Image image, EnumDetectionType detectionType, double scale, int minNeighbors, Size minSize)
{
IList <RoI> rois = new List <RoI>();
// convert to openCV format
HAAR_DETECTION_TYPE detectionTypeOpenCV = EnumHelper.StringToEnum <HAAR_DETECTION_TYPE>(detectionType.ToString());
try
{
Image <Gray, byte> gray = new Image <Gray, byte>(new Bitmap(image));
//Face Detector
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
scale,
minNeighbors,
detectionTypeOpenCV,
minSize
);
// create a RoI object for every detected face
foreach (MCvAvgComp f in facesDetected[0])
{
RoI roi = new RoI();
roi.X = f.rect.X;
roi.Y = f.rect.Y;
roi.Width = f.rect.Width;
roi.Height = f.rect.Height;
rois.Add(roi);
}
}
catch
{
throw new FaceDetectionException("Error while detecting faces!");
}
return(rois);
}
public IList<RoI> DetectFaces(Image image, EnumDetectionType detectionType, double scale, int minNeighbors, Size minSize)
{
IList<RoI> rois = new List<RoI>();
// convert to openCV format
HAAR_DETECTION_TYPE detectionTypeOpenCV = EnumHelper.StringToEnum<HAAR_DETECTION_TYPE>(detectionType.ToString());
try
{
Image<Gray, byte> gray = new Image<Gray, byte>(new Bitmap(image));
//Face Detector
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
scale,
minNeighbors,
detectionTypeOpenCV,
minSize
);
// create a RoI object for every detected face
foreach (MCvAvgComp f in facesDetected[0])
{
RoI roi = new RoI();
roi.X = f.rect.X;
roi.Y = f.rect.Y;
roi.Width = f.rect.Width;
roi.Height = f.rect.Height;
rois.Add(roi);
}
}
catch
{
throw new FaceDetectionException("Error while detecting faces!");
}
return rois;
}
