author | Radek Brich <radek.brich@devl.cz> |
Fri, 28 Mar 2008 23:30:04 +0100 | |
branch | pyrit |
changeset 52 | a6413a3d741d |
parent 44 | 3763b26244f0 |
child 71 | 4fedf7290929 |
permissions | -rw-r--r-- |
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/* |
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* kdtree.cc: KdTree class |
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* |
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* This file is part of Pyrit Ray Tracer. |
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* |
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* Copyright 2006, 2007 Radek Brich |
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* |
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* Permission is hereby granted, free of charge, to any person obtaining a copy |
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* of this software and associated documentation files (the "Software"), to deal |
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* in the Software without restriction, including without limitation the rights |
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
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* copies of the Software, and to permit persons to whom the Software is |
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* furnished to do so, subject to the following conditions: |
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* |
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* The above copyright notice and this permission notice shall be included in |
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* all copies or substantial portions of the Software. |
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* |
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN |
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* THE SOFTWARE. |
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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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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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|
124 |
splitlist.push_back(SplitPos(sh->bbox.H.cell[axis])); |
7
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125 |
} |
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126 |
sort(splitlist.begin(), splitlist.end()); |
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127 |
// remove duplicate splits |
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|
128 |
splitlist.resize(unique(splitlist.begin(), splitlist.end()) - splitlist.begin()); |
7
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129 |
|
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130 |
// find all posible splits |
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131 |
SplitList::iterator spl; |
7
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132 |
int rest; |
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133 |
for (spl = splitlist.begin(); spl != splitlist.end(); spl++) |
7
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134 |
{ |
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135 |
for (sh = sslist.begin(), rest = sslist.size(); sh != sslist.end(); sh++, rest--) |
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136 |
{ |
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137 |
if (sh->hasMark()) |
10
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|
138 |
{ |
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139 |
spl->lnum++; |
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140 |
continue; |
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141 |
} |
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|
142 |
// if shape is completely contained in split plane |
14
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|
143 |
if (spl->pos == sh->bbox.L.cell[axis] == sh->bbox.H.cell[axis]) |
7
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144 |
{ |
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|
145 |
if (spl->pos - bbox.L.cell[axis] < bbox.H.cell[axis] - spl->pos) |
7
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|
146 |
{ |
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147 |
// left subcell is smaller -> if not empty, put shape here |
9
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148 |
if (spl->lnum) |
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149 |
spl->lnum++; |
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150 |
else |
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|
151 |
spl->rnum++; |
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|
152 |
} else { |
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153 |
// right subcell is smaller |
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|
154 |
if (spl->rnum) |
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|
155 |
spl->rnum++; |
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|
156 |
else |
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|
157 |
spl->lnum++; |
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|
158 |
} |
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|
159 |
sh->setMark(); |
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|
160 |
} else |
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|
161 |
// if shape is on left side of split plane |
14
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|
162 |
if (sh->bbox.H.cell[axis] <= spl->pos) |
7
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|
163 |
{ |
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|
164 |
spl->lnum++; |
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|
165 |
sh->setMark(); |
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|
166 |
} else |
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|
167 |
// if shape occupies both sides of split plane |
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|
168 |
if (sh->bbox.L.cell[axis] < spl->pos && sh->bbox.H.cell[axis] > spl->pos) |
7
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|
169 |
{ |
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|
170 |
spl->lnum++; |
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|
171 |
spl->rnum++; |
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|
172 |
} else |
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|
173 |
// if shape is on right side of split plane |
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|
174 |
if (sh->bbox.L.cell[axis] >= spl->pos) |
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|
175 |
{ |
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|
176 |
spl->rnum += rest; |
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|
177 |
break; |
7
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|
178 |
} |
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|
179 |
} |
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|
180 |
} |
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|
181 |
|
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|
182 |
// choose best split pos |
22 | 183 |
const Float K = 1.4; // constant, K = cost of traversal / cost of ray-triangle intersection |
42 | 184 |
Float SAV = (bbox.w()*bbox.h() + bbox.w()*bbox.d() + bbox.h()*bbox.d()); // surface area of node |
22 | 185 |
Float cost = SAV * (K + shapes->size()); // initial cost = non-split cost |
15
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|
186 |
bool leaf = true; |
9
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|
187 |
BBox lbb = bbox; |
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|
188 |
BBox rbb = bbox; |
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|
189 |
for (spl = splitlist.begin(); spl != splitlist.end(); spl++) |
7
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|
190 |
{ |
9
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changeset
|
191 |
// calculate SAH cost of this split |
14
fc18ac4833f2
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|
192 |
lbb.H.cell[axis] = spl->pos; |
9
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|
193 |
rbb.L.cell[axis] = spl->pos; |
42 | 194 |
Float SAL = (lbb.w()*lbb.h() + lbb.w()*lbb.d() + lbb.h()*lbb.d()); |
195 |
Float SAR = (rbb.w()*rbb.h() + rbb.w()*rbb.d() + rbb.h()*rbb.d()); |
|
196 |
Float splitcost = K*SAV + SAL*(K+spl->lnum) + SAR*(K+spl->rnum); |
|
9
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|
197 |
|
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changeset
|
198 |
if (splitcost < cost) |
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changeset
|
199 |
{ |
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|
200 |
leaf = false; |
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diff
changeset
|
201 |
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
|
202 |
split = spl->pos; |
9
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changeset
|
203 |
} |
7
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0
diff
changeset
|
204 |
} |
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
|
205 |
|
9
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|
206 |
if (leaf) |
15
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changeset
|
207 |
{ |
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changeset
|
208 |
setLeaf(); |
9
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|
209 |
return; |
15
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changeset
|
210 |
} |
9
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changeset
|
211 |
|
29
574c34441a1c
new C++ demo: realtime_bunny
Radek Brich <radek.brich@devl.cz>
parents:
28
diff
changeset
|
212 |
#if 0 |
10
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|
213 |
// export kd-tree as .obj for visualization |
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changeset
|
214 |
// this would be hard to reconstruct later |
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|
215 |
static ofstream F("kdtree.obj"); |
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|
216 |
Vector3 v; |
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|
217 |
static int f=0; |
28
ffe83ca074f3
smooth triangles (aka Phong shading)
Radek Brich <radek.brich@devl.cz>
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25
diff
changeset
|
218 |
v.cell[axis] = split; |
10
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|
219 |
v.cell[(axis+1)%3] = bbox.L.cell[(axis+1)%3]; |
f9fad94cd0cc
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|
220 |
v.cell[(axis+2)%3] = bbox.L.cell[(axis+2)%3]; |
f9fad94cd0cc
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changeset
|
221 |
F << "v " << v.x << " " << v.y << " " << v.z << endl; |
f9fad94cd0cc
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|
222 |
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)
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changeset
|
223 |
v.cell[(axis+2)%3] = bbox.H.cell[(axis+2)%3]; |
10
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|
224 |
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)
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changeset
|
225 |
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)
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changeset
|
226 |
v.cell[(axis+2)%3] = bbox.H.cell[(axis+2)%3]; |
10
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changeset
|
227 |
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)
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changeset
|
228 |
v.cell[(axis+1)%3] = bbox.H.cell[(axis+1)%3]; |
10
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|
229 |
v.cell[(axis+2)%3] = bbox.L.cell[(axis+2)%3]; |
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changeset
|
230 |
F << "v " << v.x << " " << v.y << " " << v.z << endl; |
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|
231 |
F << "f " << f+1 << " " << f+2 << " " << f+3 << " " << f+4 << endl; |
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|
232 |
f += 4; |
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|
233 |
#endif |
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|
234 |
|
9
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|
235 |
// split this node |
17
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fix last leak as reported by valgrind
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|
236 |
delete shapes; |
9
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|
237 |
children = new KdNode[2]; |
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|
238 |
int state = 0; |
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|
239 |
for (sh = sslist.begin(); sh != sslist.end(); sh++) |
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|
240 |
{ |
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|
241 |
// if shape is on left side of split plane |
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|
242 |
if (state == 1) |
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|
243 |
{ // only right |
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|
244 |
children[1].addShape(sh->shape); |
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|
245 |
continue; |
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|
246 |
} |
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|
247 |
if (state == 0) |
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|
248 |
{ |
14
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replace Plane with axis-aligned Box (because infinite Plane is not usable with kd-tree)
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|
249 |
if (sh->bbox.H.cell[axis] < split) |
9
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|
250 |
{ // left |
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|
251 |
children[0].addShape(sh->shape); |
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|
252 |
} else |
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|
253 |
if (sh->bbox.H.cell[axis] > split) |
9
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|
254 |
{ |
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|
255 |
if (sh->bbox.L.cell[axis] < split) |
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|
256 |
{ // both |
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|
257 |
children[0].addShape(sh->shape); |
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|
258 |
children[1].addShape(sh->shape); |
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|
259 |
} else |
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|
260 |
{ // right |
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|
261 |
children[1].addShape(sh->shape); |
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|
262 |
state = 1; |
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|
263 |
} |
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|
264 |
} else |
14
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|
265 |
{ // H == split |
9
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|
266 |
if (sh->bbox.L.cell[axis] < split) |
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|
267 |
{ // left |
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|
268 |
children[0].addShape(sh->shape); |
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|
269 |
} else |
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|
270 |
{ // contained |
14
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|
271 |
if (split - bbox.L.cell[axis] < bbox.H.cell[axis] - split) |
9
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|
272 |
{ |
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|
273 |
// left subcell is smaller -> if not empty, put shape here |
23
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fix a bug in KdNode::subdivide and remove some extra variables
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diff
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|
274 |
if (children[0].shapes->size()) |
9
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|
275 |
children[0].addShape(sh->shape); |
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|
276 |
else |
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|
277 |
children[1].addShape(sh->shape); |
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|
278 |
} else { |
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|
279 |
// right subcell is smaller |
23
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diff
changeset
|
280 |
if (children[1].shapes->size()) |
9
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changeset
|
281 |
children[1].addShape(sh->shape); |
3239f749e394
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|
282 |
else |
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changeset
|
283 |
children[0].addShape(sh->shape); |
3239f749e394
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changeset
|
284 |
} |
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|
285 |
} |
3239f749e394
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changeset
|
286 |
} |
3239f749e394
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changeset
|
287 |
} |
3239f749e394
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changeset
|
288 |
} |
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diff
changeset
|
289 |
|
14
fc18ac4833f2
replace Plane with axis-aligned Box (because infinite Plane is not usable with kd-tree)
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changeset
|
290 |
lbb.H.cell[axis] = split; |
9
3239f749e394
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changeset
|
291 |
rbb.L.cell[axis] = split; |
3239f749e394
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changeset
|
292 |
|
21
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changeset
|
293 |
children[0].subdivide(lbb, maxdepth-1); |
79b516a3803d
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changeset
|
294 |
children[1].subdivide(rbb, maxdepth-1); |
0
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initial commit, raytracer source as written year ago and unchanged since 2007-03-25
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changeset
|
295 |
} |
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initial commit, raytracer source as written year ago and unchanged since 2007-03-25
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parents:
diff
changeset
|
296 |
|
11
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
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diff
changeset
|
297 |
void KdTree::build() |
0
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changeset
|
298 |
{ |
30
33f95441790e
pyrit_verbosity: new variable for controlling amount of output, see common.h
Radek Brich <radek.brich@devl.cz>
parents:
29
diff
changeset
|
299 |
dbgmsg(1, "* building kd-tree\n"); |
7
bf17f9f84c91
kd-tree: build algorithm - searching for all posible splits
Radek Brich <radek.brich@devl.cz>
parents:
0
diff
changeset
|
300 |
root = new KdNode(); |
17
5176ba000a67
fix last leak as reported by valgrind
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parents:
16
diff
changeset
|
301 |
ShapeList::iterator shape; |
5176ba000a67
fix last leak as reported by valgrind
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parents:
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diff
changeset
|
302 |
for (shape = shapes.begin(); shape != shapes.end(); shape++) |
5176ba000a67
fix last leak as reported by valgrind
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parents:
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diff
changeset
|
303 |
root->addShape(*shape); |
21
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20
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changeset
|
304 |
root->subdivide(bbox, max_depth); |
10
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
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parents:
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diff
changeset
|
305 |
built = true; |
0
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initial commit, raytracer source as written year ago and unchanged since 2007-03-25
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diff
changeset
|
306 |
} |
10
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kd-tree: build algorithm tested and fixed
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diff
changeset
|
307 |
|
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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diff
changeset
|
308 |
/* algorithm by Vlastimil Havran, Heuristic Ray Shooting Algorithms, appendix C */ |
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kd-tree: traversal algorithm (KdTree::nearest_intersection)
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changeset
|
309 |
Shape *KdTree::nearest_intersection(const Shape *origin_shape, const Ray &ray, |
22 | 310 |
Float &nearest_distance) |
12
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kd-tree: traversal algorithm (KdTree::nearest_intersection)
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|
311 |
{ |
22 | 312 |
Float a, b; /* entry/exit signed distance */ |
313 |
Float t; /* signed distance to the splitting plane */ |
|
12
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changeset
|
314 |
|
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changeset
|
315 |
/* if we have no tree, fall back to naive test */ |
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changeset
|
316 |
if (!built) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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|
317 |
return Container::nearest_intersection(origin_shape, ray, nearest_distance); |
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changeset
|
318 |
|
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|
319 |
if (!bbox.intersect(ray, a, b)) |
f4fcabf05785
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|
320 |
return NULL; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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diff
changeset
|
321 |
|
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kd-tree: traversal algorithm (KdTree::nearest_intersection)
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changeset
|
322 |
/* pointers to the far child node and current node */ |
f4fcabf05785
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changeset
|
323 |
KdNode *farchild, *node; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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changeset
|
324 |
node = root; /* start from the kd-tree root node */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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changeset
|
325 |
|
21
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diff
changeset
|
326 |
/* std vector is much faster than stack */ |
79b516a3803d
naive color driven sub-sampling
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diff
changeset
|
327 |
vector<StackElem*> st; |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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parents:
11
diff
changeset
|
328 |
|
21
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changeset
|
329 |
StackElem *enPt = new StackElem(NULL, a, |
79b516a3803d
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changeset
|
330 |
/* distinguish between internal and external origin of a ray*/ |
79b516a3803d
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diff
changeset
|
331 |
a >= 0.0 ? |
79b516a3803d
naive color driven sub-sampling
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diff
changeset
|
332 |
ray.o + ray.dir * a : /* external */ |
79b516a3803d
naive color driven sub-sampling
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20
diff
changeset
|
333 |
ray.o); /* internal */ |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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parents:
11
diff
changeset
|
334 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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parents:
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diff
changeset
|
335 |
/* setup initial exit point in the stack */ |
21
79b516a3803d
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diff
changeset
|
336 |
StackElem *exPt = new StackElem(NULL, b, ray.o + ray.dir * b); |
79b516a3803d
naive color driven sub-sampling
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changeset
|
337 |
st.push_back(exPt); |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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parents:
11
diff
changeset
|
338 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
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diff
changeset
|
339 |
/* loop, traverse through the whole kd-tree, until an object is intersected or ray leaves the scene */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
340 |
while (node) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
341 |
{ |
21
79b516a3803d
naive color driven sub-sampling
Radek Brich <radek.brich@devl.cz>
parents:
20
diff
changeset
|
342 |
exPt = st.back(); |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
343 |
/* loop until a leaf is found */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
344 |
while (!node->isLeaf()) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
345 |
{ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
346 |
/* retrieve position of splitting plane */ |
22 | 347 |
Float splitVal = node->getSplit(); |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
348 |
short axis = node->getAxis(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
349 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
350 |
if (enPt->pb[axis] <= splitVal) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
351 |
{ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
352 |
if (exPt->pb[axis] <= splitVal) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
353 |
{ /* 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
|
354 |
node = node->getLeftChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
355 |
continue; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
356 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
357 |
if (exPt->pb[axis] == splitVal) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
358 |
{ /* case Z1 */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
359 |
node = node->getRightChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
360 |
continue; |
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 |
/* case N4 */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
363 |
farchild = node->getRightChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
364 |
node = node->getLeftChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
365 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
366 |
else |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
367 |
{ /* (enPt->pb[axis] > splitVal) */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
368 |
if (splitVal < exPt->pb[axis]) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
369 |
{ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
370 |
/* case P1, P2, P3, and N5 */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
371 |
node = node->getRightChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
372 |
continue; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
373 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
374 |
/* case P4*/ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
375 |
farchild = node->getLeftChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
376 |
node = node->getRightChild(); |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
377 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
378 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
379 |
/* 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
|
380 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
381 |
/* 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
|
382 |
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
|
383 |
|
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
384 |
/* 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
|
385 |
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
|
386 |
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
|
387 |
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
|
388 |
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
|
389 |
st.push_back(exPt); |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
390 |
} /* while */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
391 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
392 |
/* 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
|
393 |
/* "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
|
394 |
"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
|
395 |
Shape *nearest_shape = NULL; |
22 | 396 |
Float dist = exPt->t; |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
397 |
ShapeList::iterator shape; |
15
a0a3e334744f
C++ demos: prepare infrastructure, add spheres_shadow.cc
Radek Brich <radek.brich@devl.cz>
parents:
14
diff
changeset
|
398 |
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
|
399 |
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
|
400 |
&& dist >= enPt->t) |
35
fb170fccb19f
new space partitioning structure: octree
Radek Brich <radek.brich@devl.cz>
parents:
34
diff
changeset
|
401 |
{ |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
402 |
nearest_shape = *shape; |
35
fb170fccb19f
new space partitioning structure: octree
Radek Brich <radek.brich@devl.cz>
parents:
34
diff
changeset
|
403 |
nearest_distance = dist; |
fb170fccb19f
new space partitioning structure: octree
Radek Brich <radek.brich@devl.cz>
parents:
34
diff
changeset
|
404 |
} |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
405 |
|
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
406 |
delete enPt; |
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
407 |
|
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
408 |
if (nearest_shape) |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
409 |
{ |
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
410 |
while (!st.empty()) |
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
411 |
{ |
21
79b516a3803d
naive color driven sub-sampling
Radek Brich <radek.brich@devl.cz>
parents:
20
diff
changeset
|
412 |
delete st.back(); |
79b516a3803d
naive color driven sub-sampling
Radek Brich <radek.brich@devl.cz>
parents:
20
diff
changeset
|
413 |
st.pop_back(); |
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
414 |
} |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
415 |
return nearest_shape; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
416 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
417 |
|
16
20bceb605f48
add Raytracer::setThreads()
Radek Brich <radek.brich@devl.cz>
parents:
15
diff
changeset
|
418 |
enPt = exPt; |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
419 |
|
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
420 |
/* 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
|
421 |
node = enPt->node; |
21
79b516a3803d
naive color driven sub-sampling
Radek Brich <radek.brich@devl.cz>
parents:
20
diff
changeset
|
422 |
st.pop_back(); |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
423 |
} /* while */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
424 |
|
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
|
425 |
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
|
426 |
|
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
427 |
/* ray leaves the scene */ |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
428 |
return NULL; |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
429 |
} |
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
430 |
|
11
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
431 |
// 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
|
432 |
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
|
433 |
{ |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
434 |
if (!built) |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
435 |
return; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
436 |
if (node == NULL) |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
437 |
node = root; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
438 |
if (node->isLeaf()) |
15
a0a3e334744f
C++ demos: prepare infrastructure, add spheres_shadow.cc
Radek Brich <radek.brich@devl.cz>
parents:
14
diff
changeset
|
439 |
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
|
440 |
else |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
441 |
{ |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
442 |
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
|
443 |
save(str, node->getLeftChild()); |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
444 |
str << "; R="; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
445 |
save(str, node->getRightChild()); |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
446 |
str << ";)"; |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
447 |
} |
f9fad94cd0cc
kd-tree: build algorithm tested and fixed
Radek Brich <radek.brich@devl.cz>
parents:
9
diff
changeset
|
448 |
} |
11
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
449 |
|
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
450 |
// 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
|
451 |
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
|
452 |
{ |
12
f4fcabf05785
kd-tree: traversal algorithm (KdTree::nearest_intersection)
Radek Brich <radek.brich@devl.cz>
parents:
11
diff
changeset
|
453 |
|
11
4d192e13ee84
move nearest_intersection() to Container, add dummy KdTree.load(), plus small fixes
Radek Brich <radek.brich@devl.cz>
parents:
10
diff
changeset
|
454 |
} |