/// <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 <Rectangle> faces = new List <Rectangle>();
try
{
using (UMat ugray = new UMat())
{
CvInvoke.CvtColor(emguImage, ugray, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray); //灰度化图片
CvInvoke.EqualizeHist(ugray, ugray); //均衡化灰度图片
Rectangle[] facesDetected = faceClassifier.DetectMultiScale(ugray, 1.1, 10, new Size(20, 20));
faces.AddRange(facesDetected);
}
}
catch (Exception ex)
{
}
fdo.facesRectangle = faces;
return(fdo);
}
/// <summary>
/// 人脸识别
/// </summary>
/// <param name="emguImage"></param>
/// <returns></returns>
public faceDetectedObj faceRecognize(Mat emguImage)
{
faceDetectedObj fdo = GetFaceRectangle(emguImage);
Image <Gray, byte> tempImg = fdo.originalImg.ToImage <Gray, byte>();
#region 给识别出的所有人脸画矩形框
using (Graphics g = Graphics.FromImage(fdo.originalImg.Bitmap))
{
foreach (Rectangle face in fdo.facesRectangle)
{
g.DrawRectangle(new Pen(Color.Red, 2), face); //给识别出的人脸画矩形框
Image <Gray, byte> GrayFace = tempImg.Copy(face).Resize(100, 100, Emgu.CV.CvEnum.Inter.Cubic);
GrayFace._EqualizeHist(); //得到均衡化人脸的灰度图像
#region 得到匹配姓名，并画出
Emgu.CV.Face.FaceRecognizer.PredictionResult pr = tfr.faceRecognizer.Predict(GrayFace);
string recogniseName = tfr.trainedFileList.trainedFileName[pr.Label].ToString();
name = tfr.trainedFileList.trainedFileName[pr.Label].ToString();
Font font = new Font("宋体", 16, GraphicsUnit.Pixel);
SolidBrush fontLine = new SolidBrush(Color.Yellow);
float xPos = face.X + (face.Width / 2 - (name.Length * 14) / 2);
float yPos = face.Y - 21;
g.DrawString(name, font, fontLine, xPos, yPos);
#endregion
fdo.names.Add(name);
}
}
#endregion
return(fdo);
}
/// <summary>
/// 人脸识别
/// </summary>
/// <param name="emguImage"></param>
/// <returns></returns>
public faceDetectedObj faceRecognize(Mat emguImage)
{
faceDetectedObj fdo = GetFaceRectangle(emguImage);
Image <Gray, byte> tempImg = fdo.originalImg.ToImage <Gray, byte>();
#region 给识别出的所有人脸画矩形框
using (Graphics g = Graphics.FromImage(fdo.originalImg.Bitmap))
{
foreach (Rectangle face in fdo.facesRectangle)
{
Image <Gray, byte> GrayFace = tempImg.Copy(face).Resize(100, 100, Emgu.CV.CvEnum.Inter.Cubic);
GrayFace._EqualizeHist();//得到均衡化人脸的灰度图像
#region 得到匹配姓名
Emgu.CV.Face.FaceRecognizer.PredictionResult pr = tfr.faceRecognizer.Predict(GrayFace);
string name = "";
//Distance越小表示 越可能是同一个人
if (pr.Distance < 4000)
{
name = tfr.trainedFileList.trainedFileName[pr.Label].ToString();
}
#endregion
fdo.names.Add(name);
}
}
#endregion
return(fdo);
}
/// <summary>
/// 人脸识别
/// </summary>
/// <param name="emguImage"></param>
/// <returns></returns>
public faceDetectedObj faceRecognize(Mat emguImage)
{
faceDetectedObj fdo = GetFaceRectangle(emguImage);
Image <Gray, byte> tempImg = fdo.originalImg.ToImage <Gray, byte>();
#region 给识别出的所有人脸画矩形框
using (Graphics g = Graphics.FromImage(fdo.originalImg.Bitmap))
{
foreach (Rectangle face in fdo.facesRectangle)
{
g.DrawRectangle(new Pen(Color.Red, 2), face);//给识别出的人脸画矩形框
Image <Gray, byte> GrayFace = tempImg.Copy(face).Resize(100, 100, Emgu.CV.CvEnum.Inter.Cubic);
GrayFace._EqualizeHist();//得到均衡化人脸的灰度图像
//Mat pMat = new Mat();
//float[] ranges = new float[] { 0.0f, 256.0f };
//using (Emgu.CV.Util.VectorOfMat vm = new Emgu.CV.Util.VectorOfMat())
//{
// vm.Push(GrayFace);
// CvInvoke.CalcHist(vm, new int[] { 0 }, null, pMat, new int[] { 1 }, ranges, false);
//}
#region 得到匹配姓名，并画出
Emgu.CV.Face.FaceRecognizer.PredictionResult pr = tfr.faceRecognizer.Predict(GrayFace);
System.Diagnostics.Debug.WriteLine(pr.Distance + " " + pr.Label);
string recogniseName = tfr.trainedFileList.trainedFileName[pr.Label].ToString();
string name = tfr.trainedFileList.trainedFileName[pr.Label].ToString();
Font font = new Font("宋体", 16, GraphicsUnit.Pixel);
SolidBrush fontLine = new SolidBrush(Color.Yellow);
float xPos = face.X + (face.Width / 2 - (name.Length * 14) / 2);
float yPos = face.Y - 21;
g.DrawString(name, font, fontLine, xPos, yPos);
#endregion
fdo.names.Add(name);
}
}
GC.Collect();
#endregion
return(fdo);
}
/// <summary>
/// 人脸识别
/// </summary>
/// <param name="emguImage"></param>
/// <returns></returns>
public faceDetectedObj faceRecognize(Mat emguImage)
{
//tfr = new TrainedFaceRecognizer();
//tfr.trainedFileList = SetSampleFacesList();
//tfr.faceRecognizer = new Emgu.CV.Face.LBPHFaceRecognizer(1, 8, 8, 8, 100);
faceDetectedObj fdo = GetFaceRectangle(emguImage);
Image <Gray, byte> tempImg = fdo.originalImg.ToImage <Gray, byte>();
#region 给识别出的所有人脸画矩形框
using (Graphics g = Graphics.FromImage(fdo.originalImg.Bitmap))
{
foreach (Rectangle face in fdo.facesRectangle)
{
g.DrawRectangle(new Pen(Color.Red, 2), face);
Image <Gray, byte> GrayFace = tempImg.Copy(face).Resize(100, 100, Emgu.CV.CvEnum.Inter.Cubic);
GrayFace._EqualizeHist();//得到均衡化人脸的灰度图像
#region 得到匹配姓名
//tfr.faceRecognizer.Load("test.xml");
Emgu.CV.Face.FaceRecognizer.PredictionResult pr = tfr.faceRecognizer.Predict(GrayFace);
string name = "";
//Distance越小表示 越可能是同一个人
//if (pr.Distance < 4000)
//{
name = tfr.trainedFileList.trainedFileName[pr.Label].ToString();
// }
Font font = new Font("宋体", 16, GraphicsUnit.Pixel);
SolidBrush fontLine = new SolidBrush(Color.Yellow);
float xPos = face.X + (face.Width / 2 - (name.Length * 14) / 2);
float yPos = face.Y - 21;
g.DrawString(name, font, fontLine, xPos, yPos);
#endregion
fdo.names.Add(name);
}
}
GC.Collect();
#endregion
return(fdo);
}
