author | Radek Brich <radek.brich@devl.cz> |
Fri, 14 Dec 2007 00:05:54 +0100 | |
branch | pyrit |
changeset 37 | 5f954c0d34fc |
parent 35 | fb170fccb19f |
child 42 | fbdeb3e04543 |
permissions | -rw-r--r-- |
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/* |
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* Pyrit Ray Tracer |
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* file: kdtree.cc |
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* |
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* Radek Brich, 2006-2007 |
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*/ |
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#include <algorithm> |
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#include <stack> |
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#include "common.h" |
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#include "kdtree.h" |
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class SortableShape |
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{ |
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public: |
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Shape *shape; |
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BBox bbox; |
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short axis; |
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short mark; |
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SortableShape(Shape *aShape, short &aAxis): shape(aShape), axis(aAxis), mark(0) |
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{ bbox = shape->get_bbox(); }; |
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friend bool operator<(const SortableShape& a, const SortableShape& b) |
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{ return a.bbox.L.cell[a.axis] < b.bbox.L.cell[b.axis]; }; |
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void setAxis(short aAxis) { axis = aAxis; }; |
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void setMark() { mark = 1; }; |
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short hasMark() { return mark; }; |
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}; |
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class SortableShapeList: public vector<SortableShape> |
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{ |
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public: |
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SortableShapeList(ShapeList *shapes, short axis) |
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{ |
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ShapeList::iterator shape; |
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for (shape = shapes->begin(); shape != shapes->end(); shape++) |
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push_back(SortableShape(*shape, axis)); |
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}; |
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}; |
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class SplitPos |
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{ |
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Float pos; |
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int lnum, rnum; |
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SplitPos(): pos(0.0), lnum(0), rnum(0) {}; |
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SplitPos(Float &aPos): pos(aPos), lnum(0), rnum(0) {}; |
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friend bool operator<(const SplitPos& a, const SplitPos& b) |
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{ return a.pos < b.pos; }; |
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friend bool operator==(const SplitPos& a, const SplitPos& b) |
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{ return a.pos == b.pos; }; |
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}; |
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class SplitList: public vector<SplitPos> |
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{ |
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}; |
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// stack element for kd-tree traversal |
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class StackElem |
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{ |
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public: |
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KdNode* node; /* pointer to far child */ |
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Float t; /* the entry/exit signed distance */ |
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Vector3 pb; /* the coordinates of entry/exit point */ |
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StackElem(KdNode *anode, const Float &at, const Vector3 &apb): |
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node(anode), t(at), pb(apb) {}; |
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}; |
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// ---------------------------------------- |
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KdNode::~KdNode() |
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{ |
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if (isLeaf()) |
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delete shapes; |
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else |
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delete[] children; |
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} |
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void KdNode::subdivide(BBox bbox, int maxdepth) |
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{ |
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if (maxdepth <= 0 || shapes->size() <= 2) |
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setLeaf(); |
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return; |
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} |
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// choose split axis |
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axis = 0; |
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if (bbox.h() > bbox.w() && bbox.h() > bbox.d()) |
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axis = 1; |
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if (bbox.d() > bbox.w() && bbox.d() > bbox.h()) |
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axis = 2; |
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// *** find optimal split position |
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SortableShapeList sslist(shapes, axis); |
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sort(sslist.begin(), sslist.end()); |
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SplitList splitlist; |
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SortableShapeList::iterator sh; |
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for (sh = sslist.begin(); sh != sslist.end(); sh++) |
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{ |
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splitlist.push_back(SplitPos(sh->bbox.L.cell[axis])); |
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splitlist.push_back(SplitPos(sh->bbox.H.cell[axis])); |
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} |
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sort(splitlist.begin(), splitlist.end()); |
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|
108 |
// remove duplicate splits |
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|
109 |
splitlist.resize(unique(splitlist.begin(), splitlist.end()) - splitlist.begin()); |
7
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|
110 |
|
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|
111 |
// find all posible splits |
9
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|
112 |
SplitList::iterator spl; |
7
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|
113 |
int rest; |
9
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|
114 |
for (spl = splitlist.begin(); spl != splitlist.end(); spl++) |
7
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|
115 |
{ |
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|
116 |
for (sh = sslist.begin(), rest = sslist.size(); sh != sslist.end(); sh++, rest--) |
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|
117 |
{ |
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|
118 |
if (sh->hasMark()) |
10
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|
119 |
{ |
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|
120 |
spl->lnum++; |
7
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|
121 |
continue; |
10
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|
122 |
} |
9
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|
123 |
// if shape is completely contained in split plane |
14
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|
124 |
if (spl->pos == sh->bbox.L.cell[axis] == sh->bbox.H.cell[axis]) |
7
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|
125 |
{ |
14
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|
126 |
if (spl->pos - bbox.L.cell[axis] < bbox.H.cell[axis] - spl->pos) |
7
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|
127 |
{ |
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|
128 |
// left subcell is smaller -> if not empty, put shape here |
9
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|
129 |
if (spl->lnum) |
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|
130 |
spl->lnum++; |
7
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|
131 |
else |
9
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|
132 |
spl->rnum++; |
7
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|
133 |
} else { |
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|
134 |
// right subcell is smaller |
9
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|
135 |
if (spl->rnum) |
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|
136 |
spl->rnum++; |
7
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|
137 |
else |
9
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|
138 |
spl->lnum++; |
7
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|
139 |
} |
10
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|
140 |
sh->setMark(); |
9
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|
141 |
} else |
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|
142 |
// if shape is on left side of split plane |
14
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changeset
|
143 |
if (sh->bbox.H.cell[axis] <= spl->pos) |
7
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|
144 |
{ |
10
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|
145 |
spl->lnum++; |
9
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|
146 |
sh->setMark(); |
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|
147 |
} else |
7
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|
148 |
// if shape occupies both sides of split plane |
14
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|
149 |
if (sh->bbox.L.cell[axis] < spl->pos && sh->bbox.H.cell[axis] > spl->pos) |
7
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|
150 |
{ |
9
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|
151 |
spl->lnum++; |
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|
152 |
spl->rnum++; |
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|
153 |
} else |
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|
154 |
// if shape is on right side of split plane |
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|
155 |
if (sh->bbox.L.cell[axis] >= spl->pos) |
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|
156 |
{ |
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|
157 |
spl->rnum += rest; |
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|
158 |
break; |
7
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|
159 |
} |
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|
160 |
} |
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|
161 |
} |
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changeset
|
162 |
|
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|
163 |
// choose best split pos |
22 | 164 |
const Float K = 1.4; // constant, K = cost of traversal / cost of ray-triangle intersection |
165 |
Float SAV = 2*(bbox.w()*bbox.h() + bbox.w()*bbox.d() + bbox.h()*bbox.d()); // surface area of node |
|
166 |
Float cost = SAV * (K + shapes->size()); // initial cost = non-split cost |
|
15
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diff
changeset
|
167 |
bool leaf = true; |
9
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|
168 |
BBox lbb = bbox; |
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|
169 |
BBox rbb = bbox; |
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|
170 |
for (spl = splitlist.begin(); spl != splitlist.end(); spl++) |
7
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|
171 |
{ |
9
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changeset
|
172 |
// calculate SAH cost of this split |
14
fc18ac4833f2
replace Plane with axis-aligned Box (because infinite Plane is not usable with kd-tree)
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diff
changeset
|
173 |
lbb.H.cell[axis] = spl->pos; |
9
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|
174 |
rbb.L.cell[axis] = spl->pos; |
22 | 175 |
Float SAL = 2*(lbb.w()*lbb.h() + lbb.w()*lbb.d() + lbb.h()*lbb.d()); |
176 |
Float SAR = 2*(rbb.w()*rbb.h() + rbb.w()*rbb.d() + rbb.h()*rbb.d()); |
|
177 |
Float splitcost = K + SAL/SAV*(K+spl->lnum) + SAR/SAV*(K+spl->rnum); |
|
9
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changeset
|
178 |
|
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changeset
|
179 |
if (splitcost < cost) |
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changeset
|
180 |
{ |
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changeset
|
181 |
leaf = false; |
3239f749e394
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diff
changeset
|
182 |
cost = splitcost; |
23
7e258561a690
fix a bug in KdNode::subdivide and remove some extra variables
Radek Brich <radek.brich@devl.cz>
parents:
22
diff
changeset
|
183 |
split = spl->pos; |
9
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diff
changeset
|
184 |
} |
7
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parents:
0
diff
changeset
|
185 |
} |
0
3547b885df7e
initial commit, raytracer source as written year ago and unchanged since 2007-03-25
Radek Brich <radek.brich@devl.cz>
parents:
diff
changeset
|
186 |
|
9
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|
187 |
if (leaf) |
15
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diff
changeset
|
188 |
{ |
a0a3e334744f
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changeset
|
189 |
setLeaf(); |
9
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changeset
|
190 |
return; |
15
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diff
changeset
|
191 |
} |
9
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diff
changeset
|
192 |
|
29
574c34441a1c
new C++ demo: realtime_bunny
Radek Brich <radek.brich@devl.cz>
parents:
28
diff
changeset
|
193 |
#if 0 |
10
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diff
changeset
|
194 |
// export kd-tree as .obj for visualization |
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diff
changeset
|
195 |
// this would be hard to reconstruct later |
f9fad94cd0cc
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changeset
|
196 |
static ofstream F("kdtree.obj"); |
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|
197 |
Vector3 v; |
f9fad94cd0cc
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changeset
|
198 |
static int f=0; |
28
ffe83ca074f3
smooth triangles (aka Phong shading)
Radek Brich <radek.brich@devl.cz>
parents:
25
diff
changeset
|
199 |
v.cell[axis] = split; |
10
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changeset
|
200 |
v.cell[(axis+1)%3] = bbox.L.cell[(axis+1)%3]; |
f9fad94cd0cc
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changeset
|
201 |
v.cell[(axis+2)%3] = bbox.L.cell[(axis+2)%3]; |
f9fad94cd0cc
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changeset
|
202 |
F << "v " << v.x << " " << v.y << " " << v.z << endl; |
f9fad94cd0cc
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parents:
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diff
changeset
|
203 |
v.cell[(axis+1)%3] = bbox.L.cell[(axis+1)%3]; |
14
fc18ac4833f2
replace Plane with axis-aligned Box (because infinite Plane is not usable with kd-tree)
Radek Brich <radek.brich@devl.cz>
parents:
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diff
changeset
|
204 |
v.cell[(axis+2)%3] = bbox.H.cell[(axis+2)%3]; |
10
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kd-tree: build algorithm tested and fixed
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changeset
|
205 |
F << "v " << v.x << " " << v.y << " " << v.z << endl; |
14
fc18ac4833f2
replace Plane with axis-aligned Box (because infinite Plane is not usable with kd-tree)
Radek Brich <radek.brich@devl.cz>
parents:
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diff
changeset
|
206 |
v.cell[(axis+1)%3] = bbox.H.cell[(axis+1)%3]; |
fc18ac4833f2
replace Plane with axis-aligned Box (because infinite Plane is not usable with kd-tree)
Radek Brich <radek.brich@devl.cz>
parents:
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diff
changeset
|
207 |
v.cell[(axis+2)%3] = bbox.H.cell[(axis+2)%3]; |
10
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changeset
|
208 |
F << "v " << v.x << " " << v.y << " " << v.z << endl; |
14
fc18ac4833f2
replace Plane with axis-aligned Box (because infinite Plane is not usable with kd-tree)
Radek Brich <radek.brich@devl.cz>
parents:
13
diff
changeset
|
209 |
v.cell[(axis+1)%3] = bbox.H.cell[(axis+1)%3]; |
10
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changeset
|
210 |
v.cell[(axis+2)%3] = bbox.L.cell[(axis+2)%3]; |
f9fad94cd0cc
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diff
changeset
|
211 |
F << "v " << v.x << " " << v.y << " " << v.z << endl; |
f9fad94cd0cc
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parents:
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changeset
|
212 |
F << "f " << f+1 << " " << f+2 << " " << f+3 << " " << f+4 << endl; |
f9fad94cd0cc
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parents:
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diff
changeset
|
213 |
f += 4; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
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changeset
|
214 |
#endif |
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|
215 |
|
9
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|
216 |
// split this node |
17
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|
217 |
delete shapes; |
9
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|
218 |
children = new KdNode[2]; |
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|
219 |
int state = 0; |
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|
220 |
for (sh = sslist.begin(); sh != sslist.end(); sh++) |
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|
221 |
{ |
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|
222 |
// if shape is on left side of split plane |
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|
223 |
if (state == 1) |
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|
224 |
{ // only right |
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|
225 |
children[1].addShape(sh->shape); |
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|
226 |
continue; |
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|
227 |
} |
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|
228 |
if (state == 0) |
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|
229 |
{ |
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|
230 |
if (sh->bbox.H.cell[axis] < split) |
9
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|
231 |
{ // left |
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|
232 |
children[0].addShape(sh->shape); |
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|
233 |
} else |
14
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|
234 |
if (sh->bbox.H.cell[axis] > split) |
9
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|
235 |
{ |
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|
236 |
if (sh->bbox.L.cell[axis] < split) |
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|
237 |
{ // both |
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|
238 |
children[0].addShape(sh->shape); |
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|
239 |
children[1].addShape(sh->shape); |
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|
240 |
} else |
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|
241 |
{ // right |
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|
242 |
children[1].addShape(sh->shape); |
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|
243 |
state = 1; |
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|
244 |
} |
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|
245 |
} else |
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|
246 |
{ // H == split |
9
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|
247 |
if (sh->bbox.L.cell[axis] < split) |
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|
248 |
{ // left |
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|
249 |
children[0].addShape(sh->shape); |
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|
250 |
} else |
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|
251 |
{ // contained |
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|
252 |
if (split - bbox.L.cell[axis] < bbox.H.cell[axis] - split) |
9
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|
253 |
{ |
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|
254 |
// left subcell is smaller -> if not empty, put shape here |
23
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|
255 |
if (children[0].shapes->size()) |
9
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|
256 |
children[0].addShape(sh->shape); |
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|
257 |
else |
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|
258 |
children[1].addShape(sh->shape); |
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|
259 |
} else { |
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|
260 |
// right subcell is smaller |
23
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diff
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|
261 |
if (children[1].shapes->size()) |
9
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|
262 |
children[1].addShape(sh->shape); |
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|
263 |
else |
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|
264 |
children[0].addShape(sh->shape); |
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|
265 |
} |
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|
266 |
} |
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|
267 |
} |
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|
268 |
} |
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|
269 |
} |
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|
270 |
|
14
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|
271 |
lbb.H.cell[axis] = split; |
9
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|
272 |
rbb.L.cell[axis] = split; |
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|
273 |
|
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|
274 |
children[0].subdivide(lbb, maxdepth-1); |
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|
275 |
children[1].subdivide(rbb, maxdepth-1); |
0
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|
276 |
} |
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changeset
|
277 |
|
11
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changeset
|
278 |
void KdTree::build() |
0
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|
279 |
{ |
30
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pyrit_verbosity: new variable for controlling amount of output, see common.h
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diff
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|
280 |
dbgmsg(1, "* building kd-tree\n"); |
7
bf17f9f84c91
kd-tree: build algorithm - searching for all posible splits
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diff
changeset
|
281 |
root = new KdNode(); |
17
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|
282 |
ShapeList::iterator shape; |
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fix last leak as reported by valgrind
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changeset
|
283 |
for (shape = shapes.begin(); shape != shapes.end(); shape++) |
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fix last leak as reported by valgrind
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|
284 |
root->addShape(*shape); |
21
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|
285 |
root->subdivide(bbox, max_depth); |
10
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changeset
|
286 |
built = true; |
0
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changeset
|
287 |
} |
10
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changeset
|
288 |
|
12
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|
289 |
/* algorithm by Vlastimil Havran, Heuristic Ray Shooting Algorithms, appendix C */ |
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|
290 |
Shape *KdTree::nearest_intersection(const Shape *origin_shape, const Ray &ray, |
22 | 291 |
Float &nearest_distance) |
12
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|
292 |
{ |
22 | 293 |
Float a, b; /* entry/exit signed distance */ |
294 |
Float t; /* signed distance to the splitting plane */ |
|
12
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|
295 |
|
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|
296 |
/* if we have no tree, fall back to naive test */ |
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|
297 |
if (!built) |
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|
298 |
return Container::nearest_intersection(origin_shape, ray, nearest_distance); |
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|
299 |
|
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|
300 |
if (!bbox.intersect(ray, a, b)) |
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|
301 |
return NULL; |
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|
302 |
|
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|
303 |
/* pointers to the far child node and current node */ |
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|
304 |
KdNode *farchild, *node; |
f4fcabf05785
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|
305 |
node = root; /* start from the kd-tree root node */ |
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|
306 |
|
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changeset
|
307 |
/* std vector is much faster than stack */ |
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|
308 |
vector<StackElem*> st; |
12
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changeset
|
309 |
|
21
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|
310 |
StackElem *enPt = new StackElem(NULL, a, |
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|
311 |
/* distinguish between internal and external origin of a ray*/ |
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|
312 |
a >= 0.0 ? |
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|
313 |
ray.o + ray.dir * a : /* external */ |
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|
314 |
ray.o); /* internal */ |
12
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changeset
|
315 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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changeset
|
316 |
/* setup initial exit point in the stack */ |
21
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changeset
|
317 |
StackElem *exPt = new StackElem(NULL, b, ray.o + ray.dir * b); |
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|
318 |
st.push_back(exPt); |
12
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changeset
|
319 |
|
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kd-tree: traversal algorithm (KdTree::nearest_intersection)
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|
320 |
/* loop, traverse through the whole kd-tree, until an object is intersected or ray leaves the scene */ |
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|
321 |
while (node) |
f4fcabf05785
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|
322 |
{ |
21
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|
323 |
exPt = st.back(); |
12
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|
324 |
/* loop until a leaf is found */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
325 |
while (!node->isLeaf()) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
326 |
{ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
327 |
/* retrieve position of splitting plane */ |
22 | 328 |
Float splitVal = node->getSplit(); |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
329 |
short axis = node->getAxis(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
330 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
331 |
if (enPt->pb[axis] <= splitVal) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
332 |
{ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
333 |
if (exPt->pb[axis] <= splitVal) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
334 |
{ /* case N1, N2, N3, P5, Z2, and Z3 */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
335 |
node = node->getLeftChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
336 |
continue; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
337 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
338 |
if (exPt->pb[axis] == splitVal) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
339 |
{ /* case Z1 */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
340 |
node = node->getRightChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
341 |
continue; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
342 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
343 |
/* case N4 */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
344 |
farchild = node->getRightChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
345 |
node = node->getLeftChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
346 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
347 |
else |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
348 |
{ /* (enPt->pb[axis] > splitVal) */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
349 |
if (splitVal < exPt->pb[axis]) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
350 |
{ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
351 |
/* case P1, P2, P3, and N5 */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
352 |
node = node->getRightChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
353 |
continue; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
354 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
355 |
/* case P4*/ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
356 |
farchild = node->getLeftChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
357 |
node = node->getRightChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
358 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
359 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
360 |
/* case P4 or N4 . . . traverse both children */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
361 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
362 |
/* signed distance to the splitting plane */ |
15
a0a3e334744f
C++ demos: prepare infrastructure, add spheres_shadow.cc
Radek Brich <radek.brich@devl.cz>
parents:
14
diff
changeset
|
363 |
t = (splitVal - ray.o.cell[axis]) / ray.dir.cell[axis]; |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
364 |
|
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
365 |
/* setup the new exit point and push it onto stack */ |
21
79b516a3803d
naive color driven sub-sampling
Radek Brich <radek.brich@devl.cz>
parents:
20
diff
changeset
|
366 |
exPt = new StackElem(farchild, t, Vector3()); |
25
b8232edee786
tuned ray-triangle intersection, now there are three algorithms to choose from:
Radek Brich <radek.brich@devl.cz>
parents:
24
diff
changeset
|
367 |
exPt->pb.cell[axis] = splitVal; |
b8232edee786
tuned ray-triangle intersection, now there are three algorithms to choose from:
Radek Brich <radek.brich@devl.cz>
parents:
24
diff
changeset
|
368 |
exPt->pb.cell[(axis+1)%3] = ray.o.cell[(axis+1)%3] + t * ray.dir.cell[(axis+1)%3]; |
b8232edee786
tuned ray-triangle intersection, now there are three algorithms to choose from:
Radek Brich <radek.brich@devl.cz>
parents:
24
diff
changeset
|
369 |
exPt->pb.cell[(axis+2)%3] = ray.o.cell[(axis+2)%3] + t * ray.dir.cell[(axis+2)%3]; |
21
79b516a3803d
naive color driven sub-sampling
Radek Brich <radek.brich@devl.cz>
parents:
20
diff
changeset
|
370 |
st.push_back(exPt); |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
371 |
} /* while */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
372 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
373 |
/* current node is the leaf . . . empty or full */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
374 |
/* "intersect ray with each object in the object list, discarding " |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
375 |
"those lying before stack[enPt].t or farther than stack[exPt].t" */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
376 |
Shape *nearest_shape = NULL; |
22 | 377 |
Float dist = exPt->t; |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
378 |
ShapeList::iterator shape; |
15
a0a3e334744f
C++ demos: prepare infrastructure, add spheres_shadow.cc
Radek Brich <radek.brich@devl.cz>
parents:
14
diff
changeset
|
379 |
for (shape = node->shapes->begin(); shape != node->shapes->end(); shape++) |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
380 |
if (*shape != origin_shape && (*shape)->intersect(ray, dist) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
381 |
&& dist >= enPt->t) |
35
fb170fccb19f
new space partitioning structure: octree
Radek Brich <radek.brich@devl.cz>
parents:
34
diff
changeset
|
382 |
{ |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
383 |
nearest_shape = *shape; |
35
fb170fccb19f
new space partitioning structure: octree
Radek Brich <radek.brich@devl.cz>
parents:
34
diff
changeset
|
384 |
nearest_distance = dist; |
fb170fccb19f
new space partitioning structure: octree
Radek Brich <radek.brich@devl.cz>
parents:
34
diff
changeset
|
385 |
} |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
386 |
|
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
387 |
delete enPt; |
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
388 |
|
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
389 |
if (nearest_shape) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
390 |
{ |
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
391 |
while (!st.empty()) |
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
392 |
{ |
21
79b516a3803d
naive color driven sub-sampling
Radek Brich <radek.brich@devl.cz>
parents:
20
diff
changeset
|
393 |
delete st.back(); |
79b516a3803d
naive color driven sub-sampling
Radek Brich <radek.brich@devl.cz>
parents:
20
diff
changeset
|
394 |
st.pop_back(); |
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
395 |
} |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
396 |
return nearest_shape; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
397 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
398 |
|
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
399 |
enPt = exPt; |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
400 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
401 |
/* retrieve the pointer to the next node, it is possible that ray traversal terminates */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
402 |
node = enPt->node; |
21
79b516a3803d
naive color driven sub-sampling
Radek Brich <radek.brich@devl.cz>
parents:
20
diff
changeset
|
403 |
st.pop_back(); |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
404 |
} /* while */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
405 |
|
14
fc18ac4833f2
replace Plane with axis-aligned Box (because infinite Plane is not usable with kd-tree)
Radek Brich <radek.brich@devl.cz>
parents:
13
diff
changeset
|
406 |
delete enPt; |
fc18ac4833f2
replace Plane with axis-aligned Box (because infinite Plane is not usable with kd-tree)
Radek Brich <radek.brich@devl.cz>
parents:
13
diff
changeset
|
407 |
|
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
408 |
/* ray leaves the scene */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
409 |
return NULL; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
410 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
411 |
|
11
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
412 |
// this should save whole kd-tree with triangles distributed into leaves |
10
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
413 |
void KdTree::save(ostream &str, KdNode *node) |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
414 |
{ |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
415 |
if (!built) |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
416 |
return; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
417 |
if (node == NULL) |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
418 |
node = root; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
419 |
if (node->isLeaf()) |
15
a0a3e334744f
C++ demos: prepare infrastructure, add spheres_shadow.cc
Radek Brich <radek.brich@devl.cz>
parents:
14
diff
changeset
|
420 |
str << "(leaf: " << node->shapes->size() << " shapes)"; |
10
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
421 |
else |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
422 |
{ |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
423 |
str << "(split " << (char)('x'+node->getAxis()) << " at " << node->getSplit() << "; L="; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
424 |
save(str, node->getLeftChild()); |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
425 |
str << "; R="; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
426 |
save(str, node->getRightChild()); |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
427 |
str << ";)"; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
428 |
} |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
429 |
} |
11
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
430 |
|
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
431 |
// load kd-tree from file/stream |
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
432 |
void KdTree::load(istream &str, KdNode *node) |
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
433 |
{ |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
434 |
|
11
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
435 |
} |