/// <summary>
/// 人脸识别
/// </summary>
/// <param name="emguImage"></param>
/// <returns></returns>
public FaceDetectedObj FaceRecognize(Mat imageFrame)
{
FaceDetectedObj fdo = GetFaceRectangle(imageFrame);
//Image<Gray, byte> tempImg = fdo.originalImg.ToImage<Gray, byte>();
Mat tempImg = fdo.originalImg;
//Add
byte[] array = tempImg.ToBytes();
Image image = byteToImage(array);
#region 给识别出的所有人脸画矩形框
using (Graphics g = Graphics.FromImage(image))
{
foreach (Rect face in fdo.facesRectangle)
{
imageFrame.Rectangle(face, new Scalar(0, 0, 255)); //给识别出的人脸画矩形框
Mat grayFace = new Mat();
tempImg.CopyTo(grayFace);
OpenCvSharp.Size size = new OpenCvSharp.Size(100, 100);
Cv2.Resize(grayFace, grayFace, size);
Cv2.CvtColor(grayFace, grayFace, ColorConversionCodes.BGR2GRAY);
grayFace.EqualizeHist();//得到均衡化人脸的灰度图像
#region 得到匹配姓名，并画出
if (tfr.trainedFileList != null && tfr.trainedFileList.trainedImages.Count > 0)
{
int pr = tfr.faceRecognizer.Predict(grayFace);
string recogniseName = tfr.trainedFileList.trainedFileName[pr].ToString();
fdo.Name = recogniseName;
fdo.names.Add(recogniseName);
imageFrame.PutText(recogniseName, new OpenCvSharp.Point(200, 100), HersheyFonts.HersheyComplex, 1, Scalar.Red);
}
#endregion
_faceSample = face;
}
}
#endregion
return(fdo);
}
/// <summary>
/// 获取制定图片，识别出的人脸矩形框
/// </summary>
/// <param name="emguImage"></param>
/// <returns></returns>
public FaceDetectedObj GetFaceRectangle(Mat emguImage)
{
FaceDetectedObj fdo = new FaceDetectedObj();
fdo.originalImg = emguImage;
List <Rect> faces = new List <Rect>();
try
{
Rect[] facesDetected = _faceClassifier.DetectMultiScale(emguImage, 1.1, 1, HaarDetectionType.ScaleImage, new OpenCvSharp.Size(100, 120));
faces.AddRange(facesDetected);
}
catch (Exception ex)
{
//MessageBox.Show("GetFaceRectangle" + ex.Message);
}
fdo.facesRectangle = faces;
return(fdo);
}
