public Face(byte[] face_template, FSDK.TFacePosition face_pos, FSDK.TPoint[] facial_features, FSDK.CImage face_image)
{
this.face_template = face_template;
this.face_position = FacePosition.FromFSDK(face_pos);
this.facial_features = facial_features;
this.image = face_image;
this.face_image = face_image;
}
private bool EnrollFace(Face a_face)
{
//ASSUMING THAT FACES ARE VERTICAL (HANDLEARBITRARYROTATIONS IS FALSE) TO SPEED UP FACE DETECTION
FSDK.SetFaceDetectionParameters(false, true, 384);
FSDK.SetFaceDetectionThreshold((int)FaceDetectionThreshold);
//GET POSITION OF FACE IN IMAGE
a_face.face_position = FacePosition.FromFSDK(a_face.Clone().image.DetectFace());
a_face.face_image = a_face.Clone().image.CopyRect((int)(a_face.face_position.xc - Math.Round(a_face.face_position.w * 0.5)), (int)(a_face.face_position.yc - Math.Round(a_face.face_position.w * 0.5)), (int)(a_face.face_position.xc + Math.Round(a_face.face_position.w * 0.5)), (int)(a_face.face_position.yc + Math.Round(a_face.face_position.w * 0.5)));
//GET THE FACIAL FEATURES OF THE FACE
FSDK.TFacePosition face_pos = a_face.face_position;
a_face.facial_features = a_face.Clone().image.DetectEyesInRegion(ref face_pos);
//GET A TEMPLATE OF THE FACE TO BE USED FOR LATER COMPARISON
a_face.face_template = a_face.Clone().image.GetFaceTemplateInRegion(ref face_pos);
known_faces_list.Add(a_face);
return(true);
}
public FaceRecognitionResult MatchFace(Image <Bgr, byte> a_face)
{
try
{
if (a_face == null)
{
throw new ArgumentNullException();
}
//CREATE A FACE OBJECT
Face unknown_face = new Face();
unknown_face.face_position = new FacePosition();
unknown_face.facial_features = new FSDK.TPoint[FSDK.FSDK_FACIAL_FEATURE_COUNT];
unknown_face.face_template = new byte[FSDK.TemplateSize];
unknown_face.image = new FSDK.CImage(a_face.ToBitmap());
//GET THE POSITION OF THE FACE IN THE IAGE
unknown_face.face_position = FacePosition.FromFSDK(unknown_face.image.DetectFace());
unknown_face.face_image = unknown_face.Clone().image;
FSDK.TFacePosition face_pos = unknown_face.face_position.Clone();
//CHECK IF A FACE HAS BEEN DETECTED
if (0 == face_pos.w)
{
face_pos = null;
Debug.WriteLine("No Face Found");
return(face_recog_results);
}
try
{
FSDK.TFacePosition face_pos_1 = unknown_face.face_position.Clone();
//GET THE FACIAL FEATURES OF THE FACE LIKE EYES NOSE ETC
unknown_face.facial_features = unknown_face.Clone().image.DetectEyesInRegion(ref face_pos_1);
face_pos_1 = null;
}
catch (Exception) { }
try
{
FSDK.TFacePosition face_pos_2 = unknown_face.face_position.Clone();
//GET A TEMPLATE OF THE FACE TO BE USED FOR COMPARISON
unknown_face.face_template = unknown_face.Clone().image.GetFaceTemplateInRegion(ref face_pos_2);
face_pos_2 = null;
}
catch (Exception) { }
//THRESHOLD INDICATING HOW SIMILAR THE TWO FACS MUST BE TO BE CONSIDERED SAME
float similarity_threshold = 0.0f;
//TO DETERMINE IF THE MATCHED TEMPLATES BELONG TO THE SAME PERSON (WITH A SPECIFIED ERROR POSSIBILITY),
//YOU CAN COMPARE THE FACIAL SIMILARITY VALUE WITH A THRESHOLD CALCULATED BY
FSDK.GetMatchingThresholdAtFAR(FARValue / 100, ref similarity_threshold);
//NUMBER OF MATCHES FOUND
int matches_count = 0;
//COUNT OF ALL FACES ENROLLED
int faces_count = known_faces_list.Count;
//HOLDS A FLOAT INDICATING HOW SIMILAR GIVEN FACE IS TO THAT IN THE SAME INDEX IN THE FACE_LIST
float[] similarities = new float[faces_count];
int[] numbers = new int[faces_count];
List <KeyValuePair <Face, float> > face_to_similarity_map = new List <KeyValuePair <Face, float> >();
//LOOP THRU THE KNOWN FACES COMPARING EACH FACE WITH THE UNKNOWN FACE
for (int i = 0; i < known_faces_list.Count; i++)
{
//VALUE INDICATING HOW SIMILAR THE 2 FACES ARE
float similarity = 0.0f;
//GET THE NEXT FACE IN THE FACE_LIST
Face next_face = known_faces_list[i];
//GET TEMPLATES FOR BOTH THE UNKNOWN FACE AND NEXT FACE
Byte[] unknown_face_template = unknown_face.face_template;
Byte[] known_face_template = next_face.face_template;
//COMPARE THE 2 FACES FOR SIMILARITY BETWEEN THEM
FSDK.MatchFaces(ref unknown_face_template, ref known_face_template, ref similarity);
unknown_face_template = null;
known_face_template = null;
if (similarity >= similarity_threshold)
{
similarities[matches_count] = similarity;
numbers[matches_count] = i;
face_to_similarity_map.Add(new KeyValuePair <Face, float>(next_face, similarity));
++matches_count;
}
}
//Dispose of Face
//SORT THE SIMILARITIES IN DESCENDING ORDER INORDERTO FIND THE MOST SIMILAR FACE
FloatsDescendingOrder floats_descending_order = new FloatsDescendingOrder();
Array.Sort(similarities, numbers, 0, matches_count, (IComparer <float>)floats_descending_order);
//GET THE PERPETRATOR ASSOCIATED WITH THE FACE
face_recog_results = new FaceRecognitionResult();
face_recog_results = GetOfMostSimilarFace(similarities, face_to_similarity_map);
face_recog_results.original_detected_face = a_face;
face_to_similarity_map = null;
//RETURN RESULTS OF FACE RECOGNITION OPERATION
return(face_recog_results);
}
catch (Exception e)
{
Debug.WriteLine(e.Message);
}
return(face_recog_results);
}