public static void Vectorize(
List <Vector> trajectory,
out List <Vector> vectors,
bool normalize
)
{
vectors = new List <Vector>();
vectors.Clear();
for (int ii = 1; ii < trajectory.Count; ii++)
{
Vector vec = trajectory[ii] - trajectory[ii - 1];
if (normalize)
{
vec.Normalize();
}
vectors.Add(vec);
}
}
public void Prepare(DeviceType deviceType,
List <Vector> resampled,
bool filtered = true)
{
List <Vector> rotated;
List <Vector> dpPoints;
this.device_id = deviceType;
if (filtered == true)
{
rotated = sample.FilteredTrajectory;
}
else
{
rotated = sample.Trajectory;
}
// Remove duplicate points
resampled.Add(rotated[0]);
for (int ii = 1; ii < rotated.Count; ii++)
{
int count = resampled.Count - 1;
double length = resampled[count].L2Norm(rotated[ii]);
if (length <= Double.Epsilon)
{
continue;
}
resampled.Add(rotated[ii]);
}
/*
* Determine Threshold
*/
sampleCount = resampled.Count;
Mathematics.BoundingBox(resampled, out Vector minimum, out Vector maximum);
double diag = maximum.L2Norm(minimum);
/*
* Resample the input using DP
*/
Mathematics.DouglasPeuckerDensity(resampled, out dpPoints, diag * 0.010f);
/*
* Heuristically dehook the trajectory
*/
if (deviceType == DeviceType.MOUSE)
{
int ptCnt = dpPoints.Count;
Vector v1 = dpPoints[1] - dpPoints[0];
Vector v2 = dpPoints[2] - dpPoints[1];
double ratio = v1.L2Norm() / v2.L2Norm();
if (ratio < .2)
{
dpPoints.RemoveAt(0);
ptCnt--;
}
v1 = dpPoints[ptCnt - 2] - dpPoints[ptCnt - 3];
v2 = dpPoints[ptCnt - 1] - dpPoints[ptCnt - 2];
ratio = v2.L2Norm() / v1.L2Norm();
if (ratio < .2)
{
dpPoints.RemoveAt(dpPoints.Count - 1);
ptCnt--;
}
}
points = dpPoints;
// Convert DP resampled points into vectors
Mathematics.Vectorize(points, out vectors, true);
// Determine correction factor information
f2l_Vector = points[points.Count - 1] - points[0];
double f2l_length = f2l_Vector.L2Norm();
closedness = f2l_length;
closedness /= Mathematics.PathLength(resampled);
f2l_Vector.Normalize();
weightClosedness = (1.0f - f2l_length / diag);
weightF2l = Math.Min(1.0f, 2.0f * f2l_length / diag);
}
