public ManagedKeypoint GetKeypoint(FingerType fingerType, KeypointType keypointType)
{
if (keypointType == KeypointType.HandCenter)
{
return(HandCenter);
}
if (keypointType == KeypointType.Wrist)
{
return(WristCenter);
}
return(GetFinger(fingerType).GetKeypoint(keypointType));
}
KeypointDrawType GetKeypointDraw(KeypointType type)
{
switch (type)
{
case KeypointType.DrawRichKeypoints:
return(KeypointDrawType.DrawRichKeypoints);
case KeypointType.NotDrawSinglePoints:
return(KeypointDrawType.NotDrawSinglePoints);
default:
return(KeypointDrawType.Default);
}
}
public ManagedKeypoint GetKeypoint(KeypointType keypointType)
{
switch (keypointType)
{
case KeypointType.MCP:
return(points[0]);
case KeypointType.PIP:
return(points.Length == 2 ? null : points[1]);
case KeypointType.Tip:
return(points[points.Length - 1]);
}
return(null);
}
public AlgorithmResult DetectSift(
string filename,
KeypointType kpsType,
int features,
int octaveLayers,
double contrastThreshold,
double edgeThreshold,
double sigma)
{
AlgorithmResult result = new AlgorithmResult();
Image <Bgr, byte> image = ImageHelper.GetImage(filename);
Image <Bgr, byte> resultImage = new Image <Bgr, byte>(filename);
// Get features from image
var sift = new SIFT(features, octaveLayers, contrastThreshold, edgeThreshold, sigma);
var keyPoints = sift.Detect(image);
DrawKeypoints(
image,
new VectorOfKeyPoint(keyPoints),
resultImage,
new Bgr(Color.FromArgb(255, 77, 77)),
GetKeypointDraw(kpsType));
result.ImageArray = ImageHelper.SetImage(resultImage);
result.KeyDatas = new List <KeyPointModel>();
result.KeyDatas.AddRange(keyPoints.Select(k => new KeyPointModel()
{
X = k.Point.X,
Y = k.Point.Y,
Size = k.Size,
Angle = k.Angle,
Response = k.Response,
Octave = k.Octave,
ClassId = k.ClassId
}));
return(result);
}
public AlgorithmResult DetectKaze(
string filename,
KeypointType kpsType,
float threshold,
int octaves,
int sublevels)
{
AlgorithmResult result = new AlgorithmResult();
Image <Bgr, byte> image = ImageHelper.GetImage(filename);
Image <Bgr, byte> resultImage = new Image <Bgr, byte>(filename);
// Get features from image
var kaze = new KAZE(false, false, threshold, octaves, sublevels, Diffusivity.PmG2);
var keyPoints = kaze.Detect(image);
DrawKeypoints(
image,
new VectorOfKeyPoint(keyPoints),
resultImage,
new Bgr(Color.FromArgb(255, 77, 77)),
GetKeypointDraw(kpsType));
result.ImageArray = ImageHelper.SetImage(resultImage);
result.KeyDatas = new List <KeyPointModel>();
result.KeyDatas.AddRange(keyPoints.Select(k => new KeyPointModel()
{
X = k.Point.X,
Y = k.Point.Y,
Size = k.Size,
Angle = k.Angle,
Response = k.Response,
Octave = k.Octave,
ClassId = k.ClassId
}));
return(result);
}