internal virtual void SetBoundingBuffer(int index, IClusterObject obj, Matrix4x4 objTransMatrix, Transform root)
{
//Set cullBound
Vector3 rootscale = root.lossyScale;
renderCache.BoundingBuffer[index].position = new Vector3(objTransMatrix.m03, objTransMatrix.m13, objTransMatrix.m23) + obj.BoundOffset;
//ignore gc
float max = (rootscale.x * obj.LocalScale.x > rootscale.y * obj.LocalScale.y) ? rootscale.x * obj.LocalScale.x : rootscale.y * obj.LocalScale.y;
renderCache.BoundingBuffer[index].radius = max * obj.BoundScale;
}
/// <summary>
/// override special object transform
/// </summary>
/// <param name="overrideObject"></param>
/// <param name="root"></param>
public virtual void ApplyOverrideTransform(int index, IClusterObject overrideObject, Transform root)
{
if (renderCache == null || renderCache.Count == 0)
{
return;
}
var objtrans = Matrix4x4.TRS(root.position, root.rotation, root.lossyScale) * Matrix4x4.TRS(overrideObject.LocalPostion, Quaternion.Euler(overrideObject.LocalRotation), overrideObject.LocalScale);
SetBoundingBuffer(index, overrideObject, objtrans, root);
renderCache.TRSmatrices.All[index] = objtrans;
}
/// <summary>
/// This method draws the centerlines/medians of the clusters. The more of the cluster streamlines are contained in the cluster, the thicker the median gets plotted.
/// </summary>
/// <param name="centerLines">A double array of the center lines of the clusters handed by matlab</param>
/// <param name="percentCluster">The array contaning a percentage value for each cluster saying, how many of the clustered streamlines lie within the cluster</param>
/// <param name="clusterObject">The object for the clustering (vectorfield, travel)</param>
private void drawCenterLines(double[,] centerLines, double[] percentCluster, IClusterObject clusterObject)
{
List <Line> cenLines = Util.getLines(centerLines);
List <Line> transfCenLinse = clusterObject.transformLines(cenLines);
List <Polyline> polyCenterLines = Util.getPolyLinesWithPercentage(transfCenLinse, percentCluster, true);
foreach (Polyline polCenter in polyCenterLines)
{
centerCanvas.Children.Add(polCenter);
Canvas.SetTop(polCenter, 0);
Canvas.SetLeft(polCenter, 0);
}
}
/// <summary>
/// This method executes matlab codes and sets parameters for the clustering and starts the matlab script calculateVariabilityLines;
/// </summary>
/// <param name="clusterObject">The object for the clustering (vectorfield, travel)</param>
private void executeMatlab(IClusterObject clusterObject)
{
clusterObject.executeMatlab(matlab);
matlab.Execute("numBasis = " + numBasis + ";");
matlab.Execute("numSamples = " + numSamples + ";");
matlab.Execute("numClusters = " + numClusters + ";");
matlab.Execute("splatSize = " + sizeSplats + ";");
matlab.Execute(("convInter = " + conf + ";").Replace(',', '.'));
matlab.Execute(("boundCoeff = " + boundaryCoeff + ";").Replace(',', '.'));
matlab.Execute("calculateVariabilityLinesPar");
}
/// <summary>
/// This method calls the matlab code, hands over the data to matlab and stores the results. Afterwards the
/// clusters and the centerlines/medians are plotted and the rectangles for the stackpanel showing, how many of
/// the clustered streamlines are contained in the respective cluster.
/// </summary>
/// <param name="clusterObject">The object for the clustering (vectorfield, travel)</param>
private void cluster(IClusterObject clusterObject)
{
clearClusterCanvas();
lineCanvas.Children.Clear();
barPanel.Children.Clear();
executeMatlab(clusterObject);
double[,] centerLines = matlab.GetVariable("reconCenterLines", "base");
double[,] percentCluster2D = matlab.GetVariable("percentCluster", "base");
double[] percentCluster = Util.Make1Dimensional(percentCluster2D);
drawClusters(percentCluster, clusterObject);
drawCenterLines(centerLines, percentCluster, clusterObject);
addRects(Util.getRects(numClusters, percentCluster, barPanel.ActualWidth, barPanel.ActualHeight));
}
/// <summary>
/// This method plotts the lines of each cluster in the respective transparent color.
/// </summary>
/// <param name="percentCluster">The array contaning a percentage value for each cluster saying, how many of the clustered streamlines lie within the cluster</param>
/// <param name="clusterObject">The object for the clustering (vectorfield, travel)</param>
private void drawClusters(double[] percentCluster, IClusterObject clusterObject)
{
for (int i = 1; i <= numClusters; i++)
{
double[,] clusterBoundary = matlab.GetVariable("boundary" + i, "base");
List <Line> boundaryLine = Util.getLines(clusterBoundary);
boundaryLine = clusterObject.transformLines(boundaryLine);
Color color = Color.FromArgb(125,
Util.colors[i - 1, 0],
Util.colors[i - 1, 1],
Util.colors[i - 1, 2]);
List <Polyline> polyLines = Util.getPolyLines(boundaryLine, color, 2);
polyLines.First().Fill = new SolidColorBrush(color);
clusterCanvas[i - 1].Children.Add(polyLines.First());
Canvas.SetTop(polyLines.First(), 0);
Canvas.SetLeft(polyLines.First(), 0);
}
}
