/// <summary>
/// Memorizes a human face
/// </summary>
/// <param name="person">Name to asign the recognized human</param>
/// <returns>True if a person was detected and name could be stores. False otherwise</returns>
private bool RememberHuman(string person)
{
// Captured image
NImage image = null;
// Grayscale image used for face recognition
NGrayscaleImage gray = null;
// Copy of captured image bitmap
Bitmap bitmap;
// Variable used to not wait forever for an image
int count = 0;
// attempts while trying to enroll
int attempts = 0;
// Extraction has succeded
bool extractionSucceded = false;
// Stores the detection details of detected face
VleDetectionDetails details = new VleDetectionDetails();
// Stores the features of detected face
byte[] features = null;
// Stores detected and recognized face
Face face = null;
sleepCapture = false;
lastOperationTime = DateTime.Now;
UseResources();
// Start enrolling
vlExtractor.ExtractStart(settings.AttemptsWhileEnrolling);
// Attemp counter
for (attempts = 0; running && (attempts < settings.AttemptsWhileEnrolling); ++attempts)
{
// Convert image to a gray one
if (image != null) image.Dispose();
if (gray != null) gray.Dispose();
image = NImage.FromBitmap(imageSource.GetImage(100));
if (image == null) continue;
gray = (NGrayscaleImage)NImage.FromImage(NPixelFormat.Grayscale, 0, image);
// Extract face details (if any)
try
{
extractionSucceded = vlExtractor.ExtractNext(gray, out details, out features);
}
catch { }
// Check if we have all data (extraction succeded)
//if (extractionSucceded && (details != null) && (details.FaceAvailable != null) && (features != null) && (features.Length > 0))
if (extractionSucceded && !details.Equals(null) && details.FaceAvailable && (features != null) && (features.Length > 0))
{
// Create the face
face = new Face(features, details);
break;
}
}
vlExtractor.Reset();
ReleaseResources();
// If there is no face, enrollment failed
if (face == null)
{
if (image != null) image.Dispose();
if (gray != null) gray.Dispose();
return false;
}
// Update video output
bitmap = image.ToBitmap();
RecognitionResultUpdate(bitmap, face);
// Set the image and name
// Bitmap to draw in the detected face region
Bitmap croppedBitmap;
// Graphics used to copy the face detected region
Graphics g;
// Rectangle used to copy the scaled region of face detected
Rectangle rect;
// Get a rectangle a bit larger than the one the face has been recognized.
// Its because some times in the exact area of the face the face cannot be recognized again
rect = new Rectangle(face.VlFace.Rectangle.X - face.VlFace.Rectangle.Width / 2, face.VlFace.Rectangle.Y - face.VlFace.Rectangle.Height / 2, face.VlFace.Rectangle.Width * 2, face.VlFace.Rectangle.Height * 2);
croppedBitmap = new Bitmap(rect.Width, rect.Height);
g = Graphics.FromImage(croppedBitmap);
bitmap = image.ToBitmap();
g.DrawImage(bitmap, 0, 0, rect, GraphicsUnit.Pixel);
face.SetBitmap(croppedBitmap);
face.Name = person;
// Register and save db
knownFaces.Add(face);
SaveKnownFaces();
LoadKnownFaces();
if (image != null) image.Dispose();
if (gray != null) gray.Dispose();
return true;
}
/// <summary>
/// Updates the output video control
/// </summary>
/// <param name="image">Base Image</param>
/// <param name="faces">List of faces detected</param>
private void RecognitionResultUpdate(Bitmap image, Face face)
{
if (face == null)
return;
if (this.InvokeRequired)
{
if (!this.IsHandleCreated || this.Disposing || this.IsDisposed)
return;
this.BeginInvoke(dlgRecognitionResultUpdate3, image, face);
return;
}
VleFace[] vlFaces;
VleDetectionDetails[] vlDetails;
vlFaces = new VleFace[] { face.VlFace };
vlDetails = new VleDetectionDetails[] { face.DetectionDetails };
vcRecognitionResult.Image = image;
vcRecognitionResult.Faces = vlFaces;
vcRecognitionResult.DetectionDetails = vlDetails;
if (face.HasFOV)
{
vcRecognitionResult.String = "FOV: (" + face.HFoV.ToString("0.00") + "," + face.VFoV.ToString("0.00") + ")";
}
}
/// <summary>
/// Updates the output video control
/// </summary>
/// <param name="image">Base Image</param>
/// <param name="faces">List of faces detected</param>
private void RecognitionResultUpdate(Bitmap image, Face[] faces)
{
if (this.InvokeRequired)
{
if (!this.IsHandleCreated || this.Disposing || this.IsDisposed)
return;
this.BeginInvoke(dlgRecognitionResultUpdate4, image, faces);
return;
}
VleFace[] vlFaces;
VleDetectionDetails[] vlDetails;
vlFaces = new VleFace[faces.Length];
vlDetails = new VleDetectionDetails[faces.Length];
for (int i = 0; i < faces.Length; ++i)
{
if (faces[i] != null)
{
vlFaces[i] = faces[i].VlFace;
vlDetails[i] = faces[i].DetectionDetails;
}
}
vcRecognitionResult.Image = image;
vcRecognitionResult.Faces = vlFaces;
vcRecognitionResult.DetectionDetails = vlDetails;
if (faces[0].HasFOV)
{
vcRecognitionResult.String = "(" + faces[0].HFoV.ToString("0.00") + "," + faces[0].VFoV.ToString("0.00") + ")";
}
}
/// <summary>
/// Updates the output video control
/// </summary>
/// <param name="image">Base Image</param>
/// <param name="faces">List of faces detected</param>
/// <param name="details">Recognition details asociated to face detected</param>
private void RecognitionResultUpdate(Bitmap image, VleFace[] faces, VleDetectionDetails[] details)
{
if (this.InvokeRequired)
{
if (!this.IsHandleCreated || this.Disposing || this.IsDisposed)
return;
this.BeginInvoke(dlgRecognitionResultUpdate2, image, faces, details);
return;
}
vcRecognitionResult.Image = image;
vcRecognitionResult.Faces = faces;
vcRecognitionResult.DetectionDetails = details;
}
