/// <summary>
/// Compute Octree for a Polyhedron
/// </summary>
/// <param name="elementID"></param>
/// <param name="polyH"></param>
/// <param name="forUserDict"></param>
public void ComputeOctree(string elementID, Polyhedron polyH, bool forUserDict)
{
// Make sure ElementID string is 22 character long for correct encoding/decoding
if (elementID.Length < 22)
{
elementID = elementID.PadLeft(22, '0');
}
ElementID eidNo = new ElementID(elementID);
Tuple <UInt64, UInt64> elementIDNo = eidNo.ElementIDNo;
OctreeNode theTree = new OctreeNode();
// Do it in steps:
// 1. Find the smallest containing cell based on the PolyH BB, it it to quickly eliminate the irrelevant cells very quickly
theTree.nodeCellID = OctreeNodeProcess.getSmallestContainingCell(polyH);
theTree._depth = theTree.nodeCellID.Level;
// 2. Perform subdivision using the BB first: quick division since there is no expensive intersection. It leaves all the leaves based on BB
OctreeNodeProcess.ProcessBB(theTree, polyH.boundingBox);
// 3. Evaluate each leaf nodes for further subdivision using the actual polyhedron (the original algorithm)
OctreeNodeProcess.Process(theTree, polyH);
List <CellID64> collCellID;
List <int> collBorderFlag;
OctreeNodeProcess.collectCellIDs(theTree, out collCellID, out collBorderFlag);
for (int i = 0; i < collCellID.Count; ++i)
{
if (forUserDict)
{
insertDataToUserDict(elementIDNo, collCellID[i], collBorderFlag[i], false);
}
else
{
//insertDataToDictDB(elementID, collCellID[i]);
insertDataToDict(elementIDNo, collCellID[i]);
}
}
}
/// <summary>
/// Compute Octree for a Line Segment
/// </summary>
/// <param name="elementID"></param>
/// <param name="lineS"></param>
/// <param name="forUserDict"></param>
public void ComputeOctree(string elementID, LineSegment3D lineS, bool forUserDict)
{
// Make sure ElementID string is 22 character long for correct encoding/decoding
if (elementID.Length < 22)
{
elementID = elementID.PadLeft(22, '0');
}
ElementID eidNo = new ElementID(elementID);
Tuple <UInt64, UInt64> elementIDNo = eidNo.ElementIDNo;
OctreeNode theTree = new OctreeNode();
// Add a step:
// 1. Find the smallest containing cell based on the Face BB, it it to quickly eliminate the irrelevant cells very quickly
theTree.nodeCellID = OctreeNodeProcess.getSmallestContainingCell(lineS);
theTree._depth = theTree.nodeCellID.Level;
OctreeNodeProcess.Process(theTree, lineS);
List <CellID64> collCellID;
List <int> collBorderFlag;
OctreeNodeProcess.collectCellIDs(theTree, out collCellID, out collBorderFlag);
for (int i = 0; i < collCellID.Count; ++i)
{
if (forUserDict)
{
insertDataToUserDict(elementIDNo, collCellID[i], collBorderFlag[i], false);
}
else
{
//insertDataToDictDB(elementID, collCellID[i]);
insertDataToDict(elementIDNo, collCellID[i]);
}
}
}
/// <summary>
/// Process Octree for a line segment
/// </summary>
/// <param name="_polyH"></param>
/// <param name="polyHF"></param>
public static void Process(OctreeNode node, LineSegment3D lineSegment)
{
if (node._depth < Octree.MaxDepth)
{
int disjointCount = 0;
OctreeNodeProcess.Split(node);
List <int> childToRemove = new List <int>();
List <int> childToTraverse = new List <int>();
for (int i = 0; i < node._children.Count; i++)
{
OctreeNode childNode = node._children[i];
if (Polyhedron.intersect(childNode.nodeCellCuboid.cuboidPolyhedron, lineSegment))
{
childToTraverse.Add(i);
childNode._flag = PolyhedronIntersectEnum.Intersect;
childNode.nodeCellID.setBorderCell();
continue;
}
// If doesn't intersect (passes the check above), either it is fully contained, full contains or disjoint
// To optimize the operation, we will use a single sampling point instead of checking the entire polyhedron since a single point can tell if a polyhedron is inside the other one
// Fully contains check only valid if the parent is fully contains, if intersect, it should never be full contains
if (node._flag == PolyhedronIntersectEnum.FullyContains)
{
if (Polyhedron.insideCuboid(childNode.nodeCellCuboid.cuboidPolyhedron, lineSegment.startPoint))
{
// if polyH is entirely inside the cuboid, we will set this for further split (the same as intersection
childToTraverse.Add(i); // We will remove the node if it is disjoint, otherwise it will continue splitting until the condition met
childNode._flag = PolyhedronIntersectEnum.FullyContains;
childNode.nodeCellID.setBorderCell();
continue;
}
}
// If the Line does not intersect the cuboid, or the cuboid does not fully contain the Line, it must be disjoint
childNode._flag = PolyhedronIntersectEnum.Disjoint;
disjointCount++;
continue;
}
if (disjointCount == 8)
{
// All children are disjoint. Remove all children and set the node to Disjoint
node._children.Clear();
node._flag = PolyhedronIntersectEnum.Disjoint;
return;
}
if (childToTraverse.Count == 1)
{
OctreeNodeProcess.Process(node._children[childToTraverse[0]], lineSegment);
}
else if (childToTraverse.Count > 1)
{
Parallel.ForEach(childToTraverse, i => OctreeNodeProcess.Process(node._children[i], lineSegment));
}
// If there is any disjoint, we need to keep this node as it is. This should be done after we processed all the children to be traversed!!
if (disjointCount > 0 && disjointCount < 8)
{
return;
}
int countGrandChildren = 0;
// If there is no disjoint, we need to check whether all children are terminal (i.e. child._children.Count == 0)
foreach (OctreeNode child in node._children)
{
countGrandChildren += child._children.Count;
}
// All children are terminal and no disjoint (by implication of previous steps). Remove children
if (countGrandChildren == 0)
{
node._children.Clear();
node._flag = PolyhedronIntersectEnum.IntersectOrInside;
return;
}
}
else
{
// at _depth == Octree.MaxDepth there is nothing else to do since the test has been done at the parent level and when entering this stage, the test has determined
// that the cell is intersected with the polyH
}
return;
}
public static void Process(OctreeNode node, Polyhedron _polyH, List <Face3D> polyHF)
{
// 3rd step. Subdivide the cells collected by the step 2 and operate on them with the actual polyhedron to get the detail
if (node._depth < Octree.MaxDepth)
{
int disjointCount = 0;
int insideCount = 0;
Split(node);
List <int> childToRemove = new List <int>();
List <int> childToTraverse = new List <int>();
List <Face3D> faceList;
faceList = Face3D.exclFacesOutsideOfBound(polyHF, node.nodeCellCuboid.cuboidPolyhedron.boundingBox, 0x111);
if (faceList.Count == 0)
{
// No face inside this cuboid left, no intersection nor completely enclosing the polyH.
node._flag = PolyhedronIntersectEnum.Disjoint;
node._children.Clear();
return;
}
for (int i = 0; i < node._children.Count; i++)
{
OctreeNode childNode = node._children[i];
//PolyhedronIntersectEnum intS = childNode.Process(polyH);
if (Polyhedron.intersect(childNode.nodeCellCuboid.cuboidPolyhedron, faceList))
{
childToTraverse.Add(i);
childNode._flag = PolyhedronIntersectEnum.Intersect;
childNode.nodeCellID.setBorderCell();
#if (DBG_OCTREE)
if (childNode._depth >= _dbgDepth)
{
BIMRLCommon refCommon = new BIMRLCommon();
string dbgFile = "c:\\temp\\octree\\" + childNode.nodeCellID.ToString() + " - intersect polyH.x3d";
BIMRLExportSDOToX3D x3d = new BIMRLExportSDOToX3D(refCommon, dbgFile);
x3d.drawCellInX3d(childNode.nodeCellID.ToString()); // draw the cell
x3d.exportFacesToX3D(faceList);
x3d.endExportToX3D();
}
#endif
continue;
}
// If doesn't intersect (passes the check above), either it is fully contained, full contains or disjoint
// To optimize the operation, we will use a single sampling point instead of checking the entire polyhedron since a single point can tell if a polyhedron is inside the other one
//if (Polyhedron.inside(childNode.nodeCellCuboid.cuboidPolyhedron, polyH))
//// No need to check this since the previous step (no 1) would have removed the fullycontaining cells
// Fully contains check only valid if the parent is fully contains, if intersect, it should never be full contains
//if (node._flag == PolyhedronIntersectEnum.FullyContains)
//{
// if (Polyhedron.insideCuboid(childNode.nodeCellCuboid.cuboidPolyhedron, faceList[0].vertices[0]))
// {
// // if polyH is entirely inside the cuboid, we will set this for further split (the same as intersection
// childToTraverse.Add(i); // We will remove the node if it is disjoint, otherwise it will continue splitting until the condition met
// childNode._flag = PolyhedronIntersectEnum.FullyContains;
// childNode.nodeCellID.setBorderCell();
// continue;
// }
//}
//if (Polyhedron.inside(polyH, childNode.nodeCellCuboid.cuboidPolyhedron))
if (Polyhedron.inside(_polyH, childNode.nodeCellCuboid.cuboidPolyhedron.Vertices[3]))
{
childNode._flag = PolyhedronIntersectEnum.Inside;
insideCount++;
#if (DBG_OCTREE)
if (childNode._depth >= _dbgDepth)
{
BIMRLCommon refCommon = new BIMRLCommon();
string dbgFile = "c:\\temp\\octree\\" + childNode.nodeCellID.ToString() + " - inside polyH.x3d";
BIMRLExportSDOToX3D x3d = new BIMRLExportSDOToX3D(refCommon, dbgFile);
x3d.drawCellInX3d(childNode.nodeCellID.ToString()); // draw the cell
x3d.exportFacesToX3D(_polyH.Faces);
x3d.endExportToX3D();
}
#endif
continue;
}
// If the 2 polyH do not intersect, the cuboid does not fully contain the polyH, nor the cuboid is fully inside the polyH, it must be disjoint
childNode._flag = PolyhedronIntersectEnum.Disjoint;
disjointCount++;
#if (DBG_OCTREE)
if (childNode._depth >= _dbgDepth)
{
BIMRLCommon refCommon = new BIMRLCommon();
string dbgFile = "c:\\temp\\octree\\" + childNode.nodeCellID.ToString() + " - disjoint polyH.x3d";
BIMRLExportSDOToX3D x3d = new BIMRLExportSDOToX3D(refCommon, dbgFile);
x3d.drawCellInX3d(childNode.nodeCellID.ToString()); // draw the cell
x3d.exportFacesToX3D(_polyH.Faces);
x3d.endExportToX3D();
}
#endif
continue;
// else: the cuboid is completely inside the polyH, keep
}
if (disjointCount == 8)
{
// All children are disjoint. Remove all children and set the node to Disjoint
node._children.Clear();
node._flag = PolyhedronIntersectEnum.Disjoint;
return;
}
if (insideCount == 8)
{
// All children are inside. Remove all children and set the node to Inside
node._children.Clear();
node._flag = PolyhedronIntersectEnum.Inside;
return;
}
if (childToTraverse.Count == 1)
{
OctreeNodeProcess.Process(node._children[childToTraverse[0]], _polyH, faceList);
}
else if (childToTraverse.Count > 1)
{
#if (DEBUG_NOPARALLEL)
// Non - parallel option for easier debugging
foreach (int i in childToTraverse)
{
OctreeNodeProcess.Process(node._children[i], _polyH, faceList);
}
#else
ParallelOptions po = new ParallelOptions();
po.MaxDegreeOfParallelism = 8;
Parallel.ForEach(childToTraverse, po, i => OctreeNodeProcess.Process(node._children[i], _polyH, faceList));
#endif
}
// If there is any disjoint, we need to keep this node as it is. This should be done after we processed all the children to be traversed!!
if (disjointCount > 0 && disjointCount < 8)
{
return;
}
int countGrandChildren = 0;
// If there is no disjoint, we need to check whether all children are terminal (i.e. child._children.Count == 0)
foreach (OctreeNode child in node._children)
{
countGrandChildren += child._children.Count;
}
// All children are terminal and no disjoint (by implication of previous steps). Remove children
if (countGrandChildren == 0)
{
node._children.Clear();
node._flag = PolyhedronIntersectEnum.IntersectOrInside;
return;
}
}
else
{
// at _depth == Octree.MaxDepth there is nothing else to do since the test has been done at the parent level and when entering this stage, the test has determined
// that the cell is intersected with the polyH
}
return;
}