/** @file AABSPTree.h @maintainer Morgan McGuire, matrix@graphics3d.com @created 2004-01-11 @edited 2005-02-24 Copyright 2000-2005, Morgan McGuire. All rights reserved. */ #ifndef G3D_AABSPTREE_H #define G3D_AABSPTREE_H #include "G3D/platform.h" #include "G3D/Array.h" #include "G3D/Table.h" #include "G3D/Vector3.h" #include "G3D/AABox.h" #include "G3D/Sphere.h" #include "G3D/Box.h" #include "G3D/Triangle.h" #include "G3D/GCamera.h" //#include "G3D/BinaryInput.h" //#include "G3D/BinaryOutput.h" #include "G3D/CollisionDetection.h" #include #include "RayIntersectionIterator.h" #ifdef _ASSEMBLER_DEBUG #ifndef g_df extern FILE *g_df; #endif #endif inline void getBounds(const G3D::Vector3& v, G3D::AABox& out) { out = G3D::AABox(v); } inline void getBounds(const G3D::AABox& a, G3D::AABox& out) { out = a; } inline void getBounds(const G3D::Sphere& s, G3D::AABox& out) { s.getBounds(out); } inline void getBounds(const G3D::Box& b, G3D::AABox& out) { b.getBounds(out); } inline void getBounds(const G3D::Triangle& t, G3D::AABox& out) { t.getBounds(out); } namespace G3D { /** A set that supports spatial queries using an axis-aligned BSP tree for speed. AABSPTree is as powerful as but more general than a Quad Tree, Oct Tree, or KD Tree, but less general than an unconstrained BSP tree (which is much slower to create). Internally, objects are arranged into an axis-aligned BSP-tree according to their axis-aligned bounds. This increases the cost of insertion to O(log n) but allows fast overlap queries. Template Parameters
The template parameter T must be one for which the following functions are overloaded:

void ::getBounds(const T&, G3D::AABox&);

bool operator==(const T&, const T&);
unsigned int ::hashCode(const T&);
T::T(); (public constructor of no arguments) Moving %Set Members
It is important that objects do not move without updating the AABSPTree. If the axis-aligned bounds of an object are about to change, AABSPTree::remove it before they change and AABSPTree::insert it again afterward. For objects where the hashCode and == operator are invariant with respect to the 3D position, you can use the AABSPTree::update method as a shortcut to insert/remove an object in one step after it has moved. Note: Do not mutate any value once it has been inserted into AABSPTree. Values are copied interally. All AABSPTree iterators convert to pointers to constant values to reinforce this. If you want to mutate the objects you intend to store in a AABSPTree simply insert pointers to your objects instead of the objects themselves, and ensure that the above operations are defined. (And actually, because values are copied, if your values are large you may want to insert pointers anyway, to save space and make the balance operation faster.) Dimensions Although designed as a 3D-data structure, you can use the AABSPTree for data distributed along 2 or 1 axes by simply returning bounds that are always zero along one or more dimensions. */ template class AABSPTree { private: public: /** Wrapper for a value that includes a cache of its bounds. */ class Handle { public: T value; /** The bounds of each object are constrained to AABox::maxFinite */ AABox bounds; /** Center of bounds. We cache this value to avoid recomputing it during the median sort, and because MSVC 6 std::sort goes into an infinite loop if we compute the midpoint on the fly (possibly a floating point roundoff issue, where B& point, int beginIndex, int endIndex) { Vector3 lo = Vector3::inf(); Vector3 hi = -lo; for (int p = beginIndex; p <= endIndex; ++p) { lo = lo.min(point[p].bounds.low()); hi = hi.max(point[p].bounds.high()); } return AABox(lo, hi); } /** A sort predicate that returns true if the midpoint of the first argument is less than the midpoint of the second along the specified axis. Used by makeNode. */ class CenterLT { public: Vector3::Axis sortAxis; CenterLT(Vector3::Axis a) : sortAxis(a) {} inline bool operator()(const Handle& a, const Handle& b) const { return a.center[sortAxis] < b.center[sortAxis]; } }; /** A sort predicate based on a box's location on the specified axis. Each box is given a value -1, 0, or 1 based on whether it is strictly less than, overlapping, or strictly greater than the value on the specified axis. This predicate compares the values for two boxes. The result is that the array is separated into three contiguous (though possibly empty) groups: less than, overlapping, or greater than. */ class PivotLT { public: Vector3::Axis sortAxis; float sortLocation; PivotLT(Vector3::Axis a, float l) : sortAxis(a), sortLocation(l) {} inline int location(const AABox& box) const { if(box.low()[sortAxis] < sortLocation) { if(box.high()[sortAxis] < sortLocation) { return -1; } else { return 0; } } else if(box.low()[sortAxis] > sortLocation) { return 1; } else { return 0; } } inline bool operator()(const Handle&a, const Handle& b) const { const AABox& A = a.bounds; const AABox& B = b.bounds; return location(A) < location(B); } }; class Node { public: /** Spatial bounds on all values at this node and its children, based purely on the parent's splitting planes. May be infinite */ AABox splitBounds; Vector3::Axis splitAxis; /** Location along the specified axis */ float splitLocation; /** child[0] contains all values strictly smaller than splitLocation along splitAxis. child[1] contains all values strictly larger. Both may be NULL if there are not enough values to bother recursing. */ Node* child[2]; /** Array of values at this node (i.e. values straddling the split plane + all values if this is a leaf node). */ Array valueArray; /** Creates node with NULL children */ Node() { splitAxis = Vector3::X_AXIS; splitLocation = 0; splitBounds = AABox(-Vector3::inf(), Vector3::inf()); for (int i = 0; i < 2; ++i) { child[i] = NULL; } } /** Doesn't clone children. */ Node(const Node& other) : valueArray(other.valueArray) { splitAxis = other.splitAxis; splitLocation = other.splitLocation; splitBounds = other.splitBounds; for (int i = 0; i < 2; ++i) { child[i] = NULL; } } /** Copies the specified subarray of pt into point, NULLs the children. Assumes a second pass will set splitBounds. */ Node(const Array& pt, int beginIndex, int endIndex) { splitAxis = Vector3::X_AXIS; splitLocation = 0; for (int i = 0; i < 2; ++i) { child[i] = NULL; } int n = endIndex - beginIndex + 1; valueArray.resize(n); for (int i = n - 1; i >= 0; --i) { valueArray[i] = pt[i + beginIndex]; } } /** Deletes the children (but not the values) */ ~Node() { for (int i = 0; i < 2; ++i) { delete child[i]; } } /** Returns true if this node is a leaf (no children) */ inline bool isLeaf() const { return (child[0] == NULL) && (child[1] == NULL); } /** Recursively appends all handles and children's handles to the array. */ void getHandles(Array& handleArray) const { handleArray.append(valueArray); for (int i = 0; i < 2; ++i) { if (child[i] != NULL) { child[i]->getHandles(handleArray); } } } void verifyNode(const Vector3& lo, const Vector3& hi) { // debugPrintf("Verifying: split %d @ %f [%f, %f, %f], [%f, %f, %f]\n", // splitAxis, splitLocation, lo.x, lo.y, lo.z, hi.x, hi.y, hi.z); debugAssert(lo == splitBounds.low()); debugAssert(hi == splitBounds.high()); for (int i = 0; i < valueArray.length(); ++i) { const AABox& b = valueArray[i].bounds; for(int axis = 0; axis < 3; ++axis) { debugAssert(b.low()[axis] <= b.high()[axis]); debugAssert(b.low()[axis] >= lo[axis]); debugAssert(b.high()[axis] <= hi[axis]); } } if (child[0] || child[1]) { debugAssert(lo[splitAxis] < splitLocation); debugAssert(hi[splitAxis] > splitLocation); } Vector3 newLo = lo; newLo[splitAxis] = splitLocation; Vector3 newHi = hi; newHi[splitAxis] = splitLocation; if (child[0] != NULL) { child[0]->verifyNode(lo, newHi); } if (child[1] != NULL) { child[1]->verifyNode(newLo, hi); } } #if 0 /** Stores the locations of the splitting planes (the structure but not the content) so that the tree can be quickly rebuilt from a previous configuration without calling balance. */ static void serializeStructure(const Node* n, BinaryOutput& bo) { if (n == NULL) { bo.writeUInt8(0); } else { bo.writeUInt8(1); n->splitBounds.serialize(bo); serialize(n->splitAxis, bo); bo.writeFloat32(n->splitLocation); for (int c = 0; c < 2; ++c) { serializeStructure(n->child[c], bo); } } } /** Clears the member table */ static Node* deserializeStructure(BinaryInput& bi) { if (bi.readUInt8() == 0) { return NULL; } else { Node* n = new Node(); n->splitBounds.deserialize(bi); deserialize(n->splitAxis, bi); n->splitLocation = bi.readFloat32(); for (int c = 0; c < 2; ++c) { n->child[c] = deserializeStructure(bi); } } } #endif /** Returns the deepest node that completely contains bounds. */ Node* findDeepestContainingNode(const AABox& bounds) { // See which side of the splitting plane the bounds are on if (bounds.high()[splitAxis] < splitLocation) { // Bounds are on the low side. Recurse into the child // if it exists. if (child[0] != NULL) { return child[0]->findDeepestContainingNode(bounds); } } else if (bounds.low()[splitAxis] > splitLocation) { // Bounds are on the high side, recurse into the child // if it exists. if (child[1] != NULL) { return child[1]->findDeepestContainingNode(bounds); } } // There was no containing child, so this node is the // deepest containing node. return this; } /** Appends all members that intersect the box. If useSphere is true, members that pass the box test face a second test against the sphere. */ void getIntersectingMembers( const AABox& box, const Sphere& sphere, Array& members, bool useSphere) const { // Test all values at this node for (int v = 0; v < valueArray.size(); ++v) { const AABox& bounds = valueArray[v].bounds; if (bounds.intersects(box) && (! useSphere || bounds.intersects(sphere))) { members.append(valueArray[v].value); } } // If the left child overlaps the box, recurse into it if ((child[0] != NULL) && (box.low()[splitAxis] < splitLocation)) { child[0]->getIntersectingMembers(box, sphere, members, useSphere); } // If the right child overlaps the box, recurse into it if ((child[1] != NULL) && (box.high()[splitAxis] > splitLocation)) { child[1]->getIntersectingMembers(box, sphere, members, useSphere); } } /** Recurse through the tree, assigning splitBounds fields. */ void assignSplitBounds(const AABox& myBounds) { splitBounds = myBounds; AABox childBounds[2]; myBounds.split(splitAxis, splitLocation, childBounds[0], childBounds[1]); for (int c = 0; c < 2; ++c) { if (child[c]) { child[c]->assignSplitBounds(childBounds[c]); } } } }; /** Recursively subdivides the subarray. Begin and end indices are inclusive. Call assignSplitBounds() on the root node after making a tree. */ Node* makeNode(Array& point, int beginIndex, int endIndex, int valuesPerNode, int numMeanSplits) { Node* node = NULL; if (endIndex - beginIndex + 1 <= valuesPerNode) { // Make a new leaf node node = new Node(point, beginIndex, endIndex); // Set the pointers in the memberTable for (int i = beginIndex; i <= endIndex; ++i) { memberTable.set(point[i].value, node); } } else { // Make a new internal node node = new Node(); const AABox bounds = computeBounds(point, beginIndex, endIndex); const Vector3 extent = bounds.high() - bounds.low(); Vector3::Axis splitAxis = extent.primaryAxis(); double splitLocation; if (numMeanSplits > 0) { // Compute the mean along the axis splitLocation = (bounds.high()[splitAxis] + bounds.low()[splitAxis]) / 2.0; } else { // Compute the median along the axis // Sort only the subarray std::sort( point.getCArray() + beginIndex, point.getCArray() + endIndex + 1, CenterLT(splitAxis)); // Intentional integer divide int midIndex = (beginIndex + endIndex) / 2; // Choose the split location between the two middle elements const Vector3 median = (point[midIndex].bounds.high() + point[iMin(midIndex + 1, point.size() - 1)].bounds.low()) * 0.5; splitLocation = median[splitAxis]; } // Re-sort around the split. This will allow us to easily // test for overlap std::sort( point.getCArray() + beginIndex, point.getCArray() + endIndex + 1, PivotLT(splitAxis, splitLocation)); // Some number of nodes may actually overlap the midddle, so // they must be found and added to *this* node, not one of // its children int overlapBeginIndex, overlapEndIndex; for (overlapBeginIndex = beginIndex; (overlapBeginIndex <= endIndex) && (point[overlapBeginIndex].bounds.high()[splitAxis] < splitLocation); ++overlapBeginIndex) {} for (overlapEndIndex = endIndex; (overlapEndIndex >= beginIndex) && (point[overlapEndIndex].bounds.low()[splitAxis] > splitLocation); --overlapEndIndex) {} #ifdef _ASSEMBLER_DEBUG fprintf(::g_df,"splitLocation: %f, beginIndex: %d, endIndex:%d, overlapBeginIndex: %d, overlapEndIndex: %d\n",splitLocation, beginIndex, endIndex, overlapBeginIndex, overlapEndIndex); if(beginIndex == 220) { float oldf = -100000.0f; for (int xxx = beginIndex; (xxx <= endIndex); ++xxx) { fprintf(::g_df," xxx:%d, point[xxx].bounds.high()[splitAxis]: %f\n",xxx, point[xxx].bounds.high()[splitAxis]); if(oldf > point[xxx].bounds.high()[splitAxis]) { fprintf(::g_df," huch ...\n"); } oldf = point[xxx].bounds.high()[splitAxis]; } } #endif // put overlapping boxes in this node for (int i = overlapBeginIndex; i <= overlapEndIndex; ++i) { node->valueArray.push(point[i]); memberTable.set(point[i].value, node); } node->splitAxis = splitAxis; node->splitLocation = splitLocation; if (overlapBeginIndex > beginIndex) { node->child[0] = makeNode(point, beginIndex, overlapBeginIndex - 1, valuesPerNode, numMeanSplits - 1); } if (overlapEndIndex < endIndex) { node->child[1] = makeNode(point, overlapEndIndex + 1, endIndex, valuesPerNode, numMeanSplits - 1); } } return node; } /** Recursively clone the passed in node tree, setting pointers for members in the memberTable as appropriate. called by the assignment operator. */ Node* cloneTree(Node* src) { Node* dst = new Node(*src); // Make back pointers for (int i = 0; i < dst->valueArray.size(); ++i) { memberTable.set(dst->valueArray[i].value, dst); } // Clone children for (int i = 0; i < 2; ++i) { if (src->child[i] != NULL) { dst->child[i] = cloneTree(src->child[i]); } } return dst; } /** Maps members to the node containing them */ Table memberTable; Node* root; /** To construct a balanced tree, insert the elements and then call AABSPTree::balance(). */ AABSPTree() : root(NULL) {} AABSPTree(const AABSPTree& src) : root(NULL) { *this = src; } AABSPTree& operator=(const AABSPTree& src) { delete root; // Clone tree takes care of filling out the memberTable. root = cloneTree(src.root); } ~AABSPTree() { clear(); } /** Throws out all elements of the set. */ void clear() { memberTable.clear(); delete root; root = NULL; } int size() const { return memberTable.size(); } /** Inserts an object into the set if it is not already present. O(log n) time. Does not cause the tree to be balanced. */ void insert(const T& value) { if (contains(value)) { // Already in the set return; } Handle h(value); if (root == NULL) { // This is the first node; create a root node root = new Node(); } Node* node = root->findDeepestContainingNode(h.bounds); // Insert into the node node->valueArray.append(h); // Insert into the node table memberTable.set(value, node); } /** Inserts each elements in the array in turn. If the tree begins empty (no structure and no elements), this is faster than inserting each element in turn. You still need to balance the tree at the end.*/ void insert(const Array& valueArray) { if (root == NULL) { // Optimized case for an empty tree; don't bother // searching or reallocating the root node's valueArray // as we incrementally insert. root = new Node(); root->valueArray.resize(valueArray.size()); for (int i = 0; i < valueArray.size(); ++i) { // Insert in opposite order so that we have the exact same // data structure as if we inserted each (i.e., order is reversed // from array). root->valueArray[valueArray.size() - i - 1] = Handle(valueArray[i]); memberTable.set(valueArray[i], root); } } else { // Insert at appropriate tree depth. for (int i = 0; i < valueArray.size(); ++i) { insert(valueArray[i]); } } } /** Returns true if this object is in the set, otherwise returns false. O(1) time. */ bool contains(const T& value) { return memberTable.containsKey(value); } /** Removes an object from the set in O(1) time. It is an error to remove members that are not already present. May unbalance the tree. Removing an element never causes a node (split plane) to be removed... nodes are only changed when the tree is rebalanced. This behavior is desirable because it allows the split planes to be serialized, and then deserialized into an empty tree which can be repopulated. */ void remove(const T& value) { debugAssertM(contains(value), "Tried to remove an element from a " "AABSPTree that was not present"); Array& list = memberTable[value]->valueArray; // Find the element and remove it for (int i = list.length() - 1; i >= 0; --i) { if (list[i].value == value) { list.fastRemove(i); break; } } memberTable.remove(value); } /** If the element is in the set, it is removed. The element is then inserted. This is useful when the == and hashCode methods on T are independent of the bounds. In that case, you may call update(v) to insert an element for the first time and call update(v) again every time it moves to keep the tree up to date. */ void update(const T& value) { if (contains(value)) { remove(value); } insert(value); } /** Rebalances the tree (slow). Call when objects have moved substantially from their original positions (which unbalances the tree and causes the spatial queries to be slow). @param valuesPerNode Maximum number of elements to put at a node. @param numMeanSplits numMeanSplits = 0 gives a fully axis aligned BSP-tree, where the balance operation attempts to balance the tree so that every splitting plane has an equal number of left and right children (i.e. it is a median split along that axis). This tends to maximize average performance. You can override this behavior by setting a number of mean (average) splits. numMeanSplits = MAX_INT creates a full oct-tree, which tends to optimize peak performance at the expense of average performance. It tends to have better clustering behavior when members are not uniformly distributed. */ void balance(int valuesPerNode = 5, int numMeanSplits = 3) { if (root == NULL) { // Tree is empty return; } Array handleArray; root->getHandles(handleArray); // Delete the old tree clear(); root = makeNode(handleArray, 0, handleArray.size() - 1, valuesPerNode, numMeanSplits); // Walk the tree, assigning splitBounds. We start with unbounded // space. root->assignSplitBounds(AABox::maxFinite()); #ifdef _DEBUG root->verifyNode(Vector3::minFinite(), Vector3::maxFinite()); #endif } private: /** @param parentMask The mask that this node returned from culledBy. */ static void getIntersectingMembers( const Array& plane, Array& members, Node* node, uint32 parentMask) { int dummy; if (parentMask == 0) { // None of these planes can cull anything for (int v = node->valueArray.size() - 1; v >= 0; --v) { members.append(node->valueArray[v].value); } // Iterate through child nodes for (int c = 0; c < 2; ++c) { if (node->child[c]) { getIntersectingMembers(plane, members, node->child[c], 0); } } } else { // Test values at this node against remaining planes for (int v = node->valueArray.size() - 1; v >= 0; --v) { if (! node->valueArray[v].bounds.culledBy(plane, dummy, parentMask)) { members.append(node->valueArray[v].value); } } uint32 childMask = 0xFFFFFF; // Iterate through child nodes for (int c = 0; c < 2; ++c) { if (node->child[c] && ! node->child[c]->splitBounds.culledBy(plane, dummy, parentMask, childMask)) { // This node was not culled getIntersectingMembers(plane, members, node->child[c], childMask); } } } } public: /** Returns all members inside the set of planes. @param members The results are appended to this array. */ void getIntersectingMembers(const Array& plane, Array& members) const { if (root == NULL) { return; } getIntersectingMembers(plane, members, root, 0xFFFFFF); } /** Typically used to find all visible objects inside the view frustum (see also GCamera::getClipPlanes)... i.e. all objects not culled by frustum. Example:
        Array  visible;
        tree.getIntersectingMembers(camera.frustum(), visible);
        // ... Draw all objects in the visible array.
        
@param members The results are appended to this array. */ void getIntersectingMembers(const GCamera::Frustum& frustum, Array& members) const { Array plane; for (int i = 0; i < frustum.faceArray.size(); ++i) { plane.append(frustum.faceArray[i].plane); } getIntersectingMembers(plane, members); } /** C++ STL style iterator variable. See beginBoxIntersection(). The iterator overloads the -> (dereference) operator, so this acts like a pointer to the current member. */ // This iterator turns Node::getIntersectingMembers into a // coroutine. It first translates that method from recursive to // stack based, then captures the system state (analogous to a Scheme // continuation) after each element is appended to the member array, // and allowing the computation to be restarted. class BoxIntersectionIterator { private: friend class AABSPTree; /** True if this is the "end" iterator instance */ bool isEnd; /** The box that we're testing against. */ AABox box; /** Node that we're currently looking at. Undefined if isEnd is true. */ Node* node; /** Nodes waiting to be processed */ // We could use backpointers within the tree and careful // state management to avoid ever storing the stack-- but // it is much easier this way and only inefficient if the // caller uses post increment (which they shouldn't!). Array stack; /** The next index of current->valueArray to return. Undefined when isEnd is true.*/ int nextValueArrayIndex; BoxIntersectionIterator() : isEnd(true) {} BoxIntersectionIterator(const AABox& b, const Node* root) : box(b), isEnd(root == NULL), nextValueArrayIndex(-1), node(const_cast(root)) { // We intentionally start at the "-1" index of the current node // so we can use the preincrement operator to move ourselves to // element 0 instead of repeating all of the code from the preincrement // method. Note that this might cause us to become the "end" // instance. ++(*this); } public: inline bool operator!=(const BoxIntersectionIterator& other) const { return ! (*this == other); } bool operator==(const BoxIntersectionIterator& other) const { if (isEnd) { return other.isEnd; } else if (other.isEnd) { return false; } else { // Two non-end iterators; see if they match. This is kind of // silly; users shouldn't call == on iterators in general unless // one of them is the end iterator. if ((box != other.box) || (node != other.node) || (nextValueArrayIndex != other.nextValueArrayIndex) || (stack.length() != other.stack.length())) { return false; } // See if the stacks are the same for (int i = 0; i < stack.length(); ++i) { if (stack[i] != other.stack[i]) { return false; } } // We failed to find a difference; they must be the same return true; } } /** Pre increment. */ BoxIntersectionIterator& operator++() { ++nextValueArrayIndex; bool foundIntersection = false; while (! isEnd && ! foundIntersection) { // Search for the next node if we've exhausted this one while ((! isEnd) && (nextValueArrayIndex >= node->valueArray.length())) { // If we entered this loop, then the iterator has exhausted the elements at // node (possibly because it just switched to a child node with no members). // This loop continues until it finds a node with members or reaches // the end of the whole intersection search. // If the right child overlaps the box, push it onto the stack for // processing. if ((node->child[1] != NULL) && (box.high()[node->splitAxis] > node->splitLocation)) { stack.push(node->child[1]); } // If the left child overlaps the box, push it onto the stack for // processing. if ((node->child[0] != NULL) && (box.low()[node->splitAxis] < node->splitLocation)) { stack.push(node->child[0]); } if (stack.length() > 0) { // Go on to the next node (which may be either one of the ones we // just pushed, or one from farther back the tree). node = stack.pop(); nextValueArrayIndex = 0; } else { // That was the last node; we're done iterating isEnd = true; } } // Search for the next intersection at this node until we run out of children while (! isEnd && ! foundIntersection && (nextValueArrayIndex < node->valueArray.length())) { if (box.intersects(node->valueArray[nextValueArrayIndex].bounds)) { foundIntersection = true; } else { ++nextValueArrayIndex; // If we exhaust this node, we'll loop around the master loop // to find a new node. } } } return *this; } /** Post increment (much slower than preincrement!). */ BoxIntersectionIterator operator++(int) { BoxIntersectionIterator old = *this; ++this; return old; } /** Overloaded dereference operator so the iterator can masquerade as a pointer to a member */ const T& operator*() const { alwaysAssertM(! isEnd, "Can't dereference the end element of an iterator"); return node->valueArray[nextValueArrayIndex].value; } /** Overloaded dereference operator so the iterator can masquerade as a pointer to a member */ T const * operator->() const { alwaysAssertM(! isEnd, "Can't dereference the end element of an iterator"); return &(stack.last()->valueArray[nextValueArrayIndex].value); } /** Overloaded cast operator so the iterator can masquerade as a pointer to a member */ operator T*() const { alwaysAssertM(! isEnd, "Can't dereference the end element of an iterator"); return &(stack.last()->valueArray[nextValueArrayIndex].value); } }; /** Iterates through the members that intersect the box */ BoxIntersectionIterator beginBoxIntersection(const AABox& box) const { return BoxIntersectionIterator(box, root); } BoxIntersectionIterator endBoxIntersection() const { // The "end" iterator instance return BoxIntersectionIterator(); } /** Appends all members whose bounds intersect the box. See also AABSPTree::beginBoxIntersection. */ void getIntersectingMembers(const AABox& box, Array& members) const { if (root == NULL) { return; } root->getIntersectingMembers(box, Sphere(Vector3::ZERO, 0), members, false); } /** @param members The results are appended to this array. */ void getIntersectingMembers(const Sphere& sphere, Array& members) const { if (root == NULL) { return; } AABox box; sphere.getBounds(box); root->getIntersectingMembers(box, sphere, members, true); } /** See AABSPTree::beginRayIntersection */ class RayIntersectionIterator { private: friend class AABSPTree; /** The stack frame contains all the info needed to resume computation for the RayIntersectionIterator */ struct StackFrame { const Node* node; /** the total checking bounds for this frame */ float minTime; /** minTime^2 */ float minTime2; float maxTime; /** what we're checking right now, either from minTime to the split, or from the split to maxTime (more or less... there are edge cases) */ float startTime; float endTime; /** endTime^2 */ float endTime2; int nextChild; /** current index into node's valueArray */ int valIndex; /** cache intersection values when they're checked on the preSide, split so they don't need to be checked again after the split. */ Array intersectionCache; void init(const Node* inNode, const Ray& ray, float inMinTime, float inMaxTime) { node = inNode; minTime = inMinTime; maxTime = inMaxTime; minTime2 = square(minTime); valIndex = -1; intersectionCache.resize(node->valueArray.length()); if (node->child[0] == NULL && node->child[1] == NULL) { startTime = minTime; endTime = maxTime; endTime2 = square(maxTime); nextChild = -1; return; } Vector3::Axis splitAxis = node->splitAxis; double splitLocation = node->splitLocation; // this is the time along the ray until the split. // could be negative if the split is behind. double splitTime = (splitLocation - ray.origin[splitAxis]) / ray.direction[splitAxis]; // If splitTime <= minTime we'll never reach the // split, so set it to inf so as not to confuse endTime. // It will be noted below that when splitTime is inf // only one of this node's children will be searched // (the pre child). Therefore it is critical that // the correct child is gone too. if (splitTime <= minTime) { splitTime = inf(); } startTime = minTime; endTime = min((double)maxTime, splitTime); endTime2 = square(endTime); double rayLocation = ray.origin[splitAxis] + ray.direction[splitAxis] * minTime; if (rayLocation == splitLocation) { // We're right on the split. Look ahead. rayLocation = ray.origin[splitAxis] + ray.direction[splitAxis] * maxTime; } if (rayLocation == splitLocation) { // right on the split, looking exactly along // it, so consider no children. nextChild = -1; } else if(rayLocation <= splitLocation) { nextChild = 0; } else { nextChild = 1; } } }; public: /** A minimum bound on the distance to the intersection. */ double minDistance; /** A maximum bound on the distance to the intersection. */ double maxDistance; /** Counts how many bounding box intersection tests have been made so far. */ int debugCounter; private: Ray ray; bool isEnd; Array stack; int stackLength; int stackIndex; int breakFrameIndex; bool skipAABoxTests; double boxMaxDist2; RayIntersectionIterator(const Ray& r, const Node* root, double pMaxTime, bool skip) : minDistance(0), maxDistance(G3D::inf()), debugCounter(0), ray(r), isEnd(root == NULL), stackLength(20), stackIndex(0), breakFrameIndex(-1), skipAABoxTests(skip) { stack.resize(stackLength); stack[stackIndex].init(root, ray, 0, G3D::inf()); boxMaxDist2 = pMaxTime*pMaxTime; ++(*this); } public: /* public so we can have empty ones */ RayIntersectionIterator() : isEnd(true) {} inline bool operator!=(const RayIntersectionIterator& other) const { return ! (*this == other); } /** Compares two iterators, but will only return true if both are at the end. */ bool operator==(const RayIntersectionIterator& other) const { if (isEnd) { return other.isEnd; } return false; } /** Marks the node where the most recent intersection occurred. If the iterator exhausts this node it will stop and set itself to the end iterator. Use this after you find a true intersection to stop the iterator from searching more than necessary. Beta API-- subject to change */ // In theory this method could be smarter: the caller could pass in // the distance of the actual collision and the iterator would keep // itself from checking nodes or boxes beyond that distance. void markBreakNode() { breakFrameIndex = stackIndex; } /** Clears the break node. Can be used before or after the iterator stops from a break. Beta API-- subject to change */ void clearBreakNode() { if (breakFrameIndex < 0) { return; } if (isEnd && stackIndex >= 0) { isEnd = false; } breakFrameIndex = -1; } RayIntersectionIterator& operator++() { alwaysAssertM(!isEnd, "Can't increment the end element of an iterator"); StackFrame* s = &stack[stackIndex]; // leave the loop if: // end is reached (ie: stack is empty) // found an intersection while (true) { ++s->valIndex; if (s->valIndex >= s->node->valueArray.length()) { // This node is exhausted, look at its // children. Node* child = (s->nextChild >= 0) ? s->node->child[s->nextChild] : NULL; double childStartTime = s->startTime; double childEndTime = s->endTime; if (s->endTime < s->maxTime) { // we can come back to this frame, // so reset it s->valIndex = -1; s->startTime = s->endTime; s->endTime = s->maxTime; s->endTime2 = square(s->maxTime); s->nextChild = (s->nextChild >= 0) ? (1 - s->nextChild) : -1; // this could be changed somehow, // since Array already does the // power-of-two growth stuff if (stackIndex == stackLength) { stackLength *= 2; stack.resize(stackLength); } } else { // tail-recursion: we won't come // back to this frame, so we can // remove it. if (stackIndex == breakFrameIndex) { // This will be the case if the // break frame is set on a node, but // the node is exhausted so it won't // be put on the stack. Here we // decrement the break frame so that // the break occurs when the current // frame's parent is resumed. --breakFrameIndex; } --stackIndex; } // There could have been a resize on the array, so // do not use s (pointer into the array)! if (child != NULL) { ++stackIndex; stack[stackIndex].init( child, ray, childStartTime, childEndTime); } if ((stackIndex < 0) || (stackIndex == breakFrameIndex)) { isEnd = true; break; } s = &stack[stackIndex]; continue; } if (skipAABoxTests) { // No AABox test-- return everything minDistance = s->startTime; maxDistance = s->endTime; break; } else { double t2; // this can be an exact equals because the two // variables are initialized to the same thing if (s->startTime == s->minTime) { Vector3 location; bool insiteOk; Vector3 mynormal; if ( VMAP::MyCollisionDetection::collisionLocationForMovingPointFixedAABox( ray.origin, ray.direction, s->node->valueArray[s->valIndex].bounds, location,insiteOk, mynormal )) { // Optimization: store t-squared t2 = (location - ray.origin).squaredLength(); } else { t2 = inf(); } if(t2 > boxMaxDist2) t2=inf(); // too far off //t = ray.intersectionTime(s->node->valueArray[s->valIndex].bounds); s->intersectionCache[s->valIndex] = t2; ++debugCounter; } else { t2 = s->intersectionCache[s->valIndex]; } // use minTime here because intersection may be // detected pre-split, but be valid post-split, too. if ((t2 >= s->minTime2) && (t2 < s->endTime2)) { // Gives slightly tighter bounds but runs slower: // minDistance = max(t, s->startTime); minDistance = s->startTime; maxDistance = s->endTime; break; } } } return *this; } /** Overloaded dereference operator so the iterator can masquerade as a pointer to a member */ const T& operator*() const { alwaysAssertM(! isEnd, "Can't dereference the end element of an iterator"); return stack[stackIndex].node->valueArray[stack[stackIndex].valIndex].value; } /** Overloaded dereference operator so the iterator can masquerade as a pointer to a member */ T const * operator->() const { alwaysAssertM(! isEnd, "Can't dereference the end element of an iterator"); return &(stack[stackIndex].node->valueArray[stack[stackIndex].valIndex].value); } /** Overloaded cast operator so the iterator can masquerade as a pointer to a member */ operator T*() const { alwaysAssertM(! isEnd, "Can't dereference the end element of an iterator"); return &(stack[stackIndex].node->valueArray[stack[stackIndex].valIndex].value); } }; /** Generates a RayIntersectionIterator that produces successive elements from the set whose bounding boxes are intersected by the ray. Typically used for ray tracing, hit-scan, and collision detection. The elements are generated mostly in the order that they are hit by the ray, so that iteration may end abruptly when the closest intersection to the ray origin has been reached. Because the elements within a given kd-tree node are unordered, iteration may need to proceed a little past the first member returned in order to find the closest intersection. The iterator doesn't automatically find the first intersection because it is looking at bounding boxes, not the true intersections. When the caller finds a true intersection it should call markBreakNode() on the iterator. This will stop the iterator (setting it to the end iterator) when the current node and relevant children are exhausted. Complicating the matter further, some members straddle the plane. The iterator produces these members twice. The first time it is produced the caller should only consider intersections on the near side of the split plane. The second time, the caller should only consider intersections on the far side. The minDistance and maxDistance fields specify the range on which intersections should be considered. Be aware that they may be inf or zero. An example of how to use the iterator follows. Almost all ray intersection tests will have identical structure.

        void findFirstIntersection(
        const Ray&  ray,
        Object*&    firstObject,
        double&     firstTime) {

        firstObject   = NULL;
        firstDistance = inf();

        typedef AABSPTree::RayIntersectionIterator IT;
        const IT end = tree.endRayIntersection();

        for (IT obj = tree.beginRayIntersection(ray);
        obj != end;
        ++obj) {  // (preincrement is *much* faster than postincrement!) 

        // Call your accurate intersection test here.  It is guaranteed
        // that the ray hits the bounding box of obj.  (*obj) has type T,
        // so you can call methods directly using the "->" operator.
        double t = obj->distanceUntilIntersection(ray);

        // Often methods like "distanceUntilIntersection" can be made more
        // efficient by providing them with the time at which to start and
        // to give up looking for an intersection; that is, 
        // obj.minDistance and iMin(firstDistance, obj.maxDistance).

        static const double epsilon = 0.00001;
        if ((t < firstDistance) && 
        (t <= obj.maxDistance + epsilon) &&
        (t >= obj.minDistance - epsilon)) {

        // This is the new best collision time
        firstObject   = obj;
        firstDistance = t;

        // Tell the iterator that we've found at least one 
        // intersection.  It will finish looking at all
        // objects in this node and then terminate.
        obj.markBreakNode();
        }
        }
        }
        
@param skipAABoxTests Set to true when the intersection test for a member is faster than an AABox-ray intersection test. In that case, the iterator will not use a bounding box test on values that are returned. Leave false (the default) for objects with slow intersection tests. In that case, the iterator guarantees that the ray hits the bounds of any object returned. @cite Implementation by Pete Hopkins */ RayIntersectionIterator beginRayIntersection(const Ray& ray, double pMaxTime, bool skipAABoxTests = false) const { return RayIntersectionIterator(ray, root, pMaxTime, skipAABoxTests); } RayIntersectionIterator endRayIntersection() const { return RayIntersectionIterator(); } /** Returns an array of all members of the set. See also AABSPTree::begin. */ void getMembers(Array& members) const { memberTable.getKeys(members); } /** C++ STL style iterator variable. See begin(). Overloads the -> (dereference) operator, so this acts like a pointer to the current member. */ class Iterator { private: friend class AABSPTree; // Note: this is a Table iterator, we are currently defining // Set iterator typename Table::Iterator it; Iterator(const typename Table::Iterator& it) : it(it) {} public: inline bool operator!=(const Iterator& other) const { return !(*this == other); } bool operator==(const Iterator& other) const { return it == other.it; } /** Pre increment. */ Iterator& operator++() { ++it; return *this; } /** Post increment (slower than preincrement). */ Iterator operator++(int) { Iterator old = *this; ++(*this); return old; } const T& operator*() const { return it->key; } T* operator->() const { return &(it->key); } operator T*() const { return &(it->key); } }; /** C++ STL style iterator method. Returns the first member. Use preincrement (++entry) to get to the next element (iteration order is arbitrary). Do not modify the set while iterating. */ Iterator begin() const { return Iterator(memberTable.begin()); } /** C++ STL style iterator method. Returns one after the last iterator element. */ Iterator end() const { return Iterator(memberTable.end()); } }; #define KDTreeSet AABSPTree } #endif