1 | #ifndef _KdTree_H__
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2 | #define _KdTree_H__
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3 |
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4 | #include <functional>
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5 | using namespace std;
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6 |
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7 | #include "Containers.h"
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8 | #include "AxisAlignedBox3.h"
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9 | #include "Ray.h"
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10 | #include "Pvs.h"
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11 | #include "Viewcell.h"
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12 |
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13 | class KdNode;
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14 | class KdLeaf;
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15 | class KdInterior;
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16 | class Intersectable;
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17 | //class KdViewCell;
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18 | class Beam;
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19 |
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20 | // --------------------------------------------------------------
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21 | // Static statistics for kd-tree search
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22 | // --------------------------------------------------------------
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23 | class KdTreeStatistics
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24 | {
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25 | public:
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26 | // total number of nodes
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27 | int nodes;
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28 | // number of splits along each of the axes
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29 | int splits[7];
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30 | // totals number of rays
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31 | int rays;
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32 | // total number of query domains
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33 | int queryDomains;
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34 | // total number of ray references
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35 | int rayRefs;
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36 | // refs in non empty leafs
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37 | int rayRefsNonZeroQuery;
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38 | // total number of query references
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39 | int objectRefs;
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40 | // nodes with zero queries
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41 | int zeroQueryNodes;
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42 | // max depth nodes
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43 | int maxDepthNodes;
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44 | // max depth nodes
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45 | int minCostNodes;
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46 | // max number of rays per node
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47 | int maxObjectRefs;
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48 | // number of dynamically added ray refs
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49 | int addedRayRefs;
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50 | // number of dynamically removed ray refs
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51 | int removedRayRefs;
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52 |
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53 | // Constructor
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54 | KdTreeStatistics() {
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55 | Reset();
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56 | }
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57 |
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58 | int Nodes() const {return nodes;}
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59 | int Interior() const { return nodes/2; }
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60 | int Leaves() const { return (nodes/2) + 1; }
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61 |
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62 | void Reset() {
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63 | nodes = 0;
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64 | for (int i=0; i<7; i++)
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65 | splits[i] = 0;
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66 | rays = queryDomains = 0;
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67 | rayRefs = rayRefsNonZeroQuery = objectRefs = 0;
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68 | zeroQueryNodes = 0;
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69 | maxDepthNodes = 0;
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70 | minCostNodes = 0;
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71 | maxObjectRefs = 0;
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72 | addedRayRefs = removedRayRefs = 0;
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73 | }
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74 |
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75 | void
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76 | Print(ostream &app) const;
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77 |
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78 | friend ostream &operator<<(ostream &s, const KdTreeStatistics &stat) {
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79 | stat.Print(s);
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80 | return s;
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81 | }
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82 |
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83 | };
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84 |
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85 |
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86 | class KdInterior;
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87 | /** Abstract class for kd-tree node */
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88 | class KdNode {
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89 | public:
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90 | static int mailID;
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91 | int mailbox;
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92 |
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93 | void Mail() { mailbox = mailID; }
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94 | static void NewMail() { mailID++; }
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95 | bool Mailed() const { return mailbox == mailID; }
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96 |
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97 |
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98 | KdNode(KdInterior *parent);
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99 |
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100 | /** Determines whether this node is a leaf or interior node
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101 | @return true if leaf
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102 | */
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103 | virtual bool IsLeaf() const = 0;
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104 |
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105 | /** Determines whether this node is the root of the tree
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106 | @return true if root
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107 | */
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108 | virtual bool IsRoot() const {
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109 | return mParent == NULL;
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110 | }
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111 |
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112 | /** Parent of the node - the parent is a little overhead for maintanance of the tree,
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113 | but allows various optimizations of tree traversal algorithms */
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114 | KdInterior *mParent;
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115 | int mDepth;
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116 | };
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117 |
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118 | /** Implementation of the kd-tree interior node */
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119 | class KdInterior : public KdNode {
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120 |
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121 | public:
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122 |
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123 | KdInterior(KdInterior *parent):KdNode(parent), mBack(NULL), mFront(NULL) {}
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124 |
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125 | /** \sa KdNode::IsLeaf() */
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126 | virtual bool IsLeaf() const { return false; }
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127 |
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128 | /** splitting axis */
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129 | int mAxis;
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130 | /** splitting position, absolute position within the bounding box of this node */
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131 | float mPosition;
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132 | /** bounding box of interior node */
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133 | AxisAlignedBox3 mBox;
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134 |
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135 | /** back node */
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136 | KdNode *mBack;
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137 | /** front node */
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138 | KdNode *mFront;
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139 |
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140 | void SetupChildLinks(KdNode *b, KdNode *f) {
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141 | mBack = b;
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142 | mFront = f;
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143 | b->mParent = f->mParent = this;
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144 | }
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145 |
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146 | void ReplaceChildLink(KdNode *oldChild, KdNode *newChild) {
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147 | if (mBack == oldChild)
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148 | mBack = newChild;
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149 | else
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150 | mFront = newChild;
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151 | }
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152 |
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153 |
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154 | };
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155 |
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156 |
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157 | /** Implementation of the kd-tree leaf node */
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158 | class KdLeaf : public KdNode {
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159 | public:
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160 | KdLeaf(KdInterior *parent, const int objects):
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161 | KdNode(parent), mViewCell(NULL) {
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162 | mObjects.reserve(objects);
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163 | }
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164 |
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165 | void AddPassingRay(const Ray &ray, const int contributions) {
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166 | mPassingRays.AddRay(ray, contributions);
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167 | // Debug << "adding passing ray" << endl;
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168 | }
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169 |
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170 |
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171 | void AddPassingRay2(const Ray &ray,
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172 | const int objects,
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173 | const int viewcells
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174 | ) {
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175 | mPassingRays.AddRay2(ray, objects, viewcells);
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176 | // Debug << "adding passing ray" << endl;
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177 | }
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178 |
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179 | /** \sa KdNode::IsLeaf() */
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180 | virtual bool IsLeaf() const { return true; }
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181 |
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182 |
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183 | /** pointers to occluders contained in this node */
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184 | ObjectContainer mObjects;
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185 |
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186 | /** Ray set description of the rays passing through this node */
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187 | PassingRaySet mPassingRays;
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188 |
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189 | /** PVS consisting of visible KdTree nodes */
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190 | KdPvs mKdPvs;
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191 |
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192 | /** pointer to view cell.
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193 | */
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194 | KdViewCell *mViewCell;
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195 | };
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196 |
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197 |
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198 |
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199 | /** KdTree for indexing scene entities - occluders/occludees/viewcells */
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200 | class KdTree {
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201 |
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202 | protected:
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203 | struct TraversalData
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204 | {
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205 | KdNode *mNode;
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206 | AxisAlignedBox3 mBox;
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207 | int mDepth;
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208 | float mPriority;
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209 |
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210 | TraversalData() {}
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211 |
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212 | TraversalData(KdNode *n, const float p):
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213 | mNode(n), mPriority(p)
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214 | {}
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215 |
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216 | TraversalData(KdNode *n,
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217 | const AxisAlignedBox3 &b,
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218 | const int d):
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219 | mNode(n), mBox(b), mDepth(d) {}
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220 |
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221 |
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222 | bool operator<(
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223 | const TraversalData &b) const {
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224 | KdLeaf *leafa = (KdLeaf *) mNode;
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225 | KdLeaf *leafb = (KdLeaf *) b.mNode;
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226 | return
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227 | leafa->mObjects.size()*mBox.SurfaceArea()
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228 | <
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229 | leafb->mObjects.size()*b.mBox.SurfaceArea();
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230 | }
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231 |
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232 |
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233 | // comparator for the
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234 | struct less_priority : public
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235 | binary_function<const TraversalData, const TraversalData, bool> {
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236 |
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237 | bool operator()(const TraversalData a, const TraversalData b) {
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238 | return a.mPriority < b.mPriority;
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239 | }
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240 |
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241 | };
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242 |
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243 | };
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244 |
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245 |
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246 |
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247 | public:
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248 |
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249 | enum {SPLIT_OBJECT_MEDIAN,
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250 | SPLIT_SPATIAL_MEDIAN,
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251 | SPLIT_SAH};
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252 |
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253 | KdTree();
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254 |
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255 |
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256 | /** Insert view cell into the tree */
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257 | virtual void InsertViewCell(ViewCell *viewCell) {
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258 | // mRoot->mViewcells.push_back(viewCell);
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259 | }
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260 |
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261 | virtual bool Construct();
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262 |
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263 | /** Check whether subdivision criteria are met for the given subtree.
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264 | If not subdivide the leafs of the subtree. The criteria are specified in
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265 | the environment as well as the subdivision method. By default surface area
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266 | heuristics is used.
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267 |
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268 | @param subtree root of the subtree
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269 |
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270 | @return true if subdivision was performed, false if subdivision criteria
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271 | were already met
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272 | */
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273 | virtual KdNode *Subdivide(const TraversalData &tdata);
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274 |
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275 | /** Get the root of the tree */
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276 | KdNode *GetRoot() const {
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277 | return mRoot;
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278 | }
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279 |
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280 |
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281 | AxisAlignedBox3 GetBox() const { return mBox; }
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282 |
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283 | int
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284 | CastRay(
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285 | Ray &ray
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286 | );
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287 |
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288 |
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289 | int
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290 | CastBeam(
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291 | Beam &beam
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292 | );
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293 |
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294 |
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295 | /** Casts line segment into tree.
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296 | @returns intersected view cells.
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297 | */
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298 | int CastLineSegment(const Vector3 &origin,
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299 | const Vector3 &termination,
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300 | vector<ViewCell *> &viewcells);
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301 |
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302 |
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303 | const KdTreeStatistics &GetStatistics() const {
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304 | return mStat;
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305 | }
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306 |
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307 | void
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308 | CollectObjects(KdNode *n, ObjectContainer &objects);
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309 |
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310 | void
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311 | CollectLeaves(vector<KdLeaf *> &leaves);
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312 |
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313 | /** If the kd tree is used as view cell container, this
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314 | methods creates the view cells.
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315 | @returns the newly created view cells in a view cell container
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316 | */
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317 | void
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318 | CreateAndCollectViewCells(ViewCellContainer &viewCells) const;
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319 |
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320 | AxisAlignedBox3 GetBox(const KdNode *node) const {
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321 | KdInterior *parent = node->mParent;
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322 | if (parent == NULL)
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323 | return mBox;
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324 |
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325 | if (!node->IsLeaf())
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326 | return ((KdInterior *)node)->mBox;
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327 |
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328 | AxisAlignedBox3 box(parent->mBox);
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329 | if (parent->mFront == node)
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330 | box.SetMin(parent->mAxis, parent->mPosition);
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331 | else
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332 | box.SetMax(parent->mAxis, parent->mPosition);
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333 | return box;
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334 | }
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335 |
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336 | KdNode *
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337 | FindRandomNeighbor(KdNode *n,
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338 | bool onlyUnmailed
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339 | );
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340 |
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341 | KdNode *
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342 | KdTree::GetRandomLeaf(const Plane3 &halfspace);
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343 |
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344 | KdNode *
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345 | GetRandomLeaf(const bool onlyUnmailed = false);
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346 |
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347 | int
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348 | FindNeighbors(KdNode *n,
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349 | vector<KdNode *> &neighbors,
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350 | bool onlyUnmailed
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351 | );
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352 |
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353 | int
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354 | CollectLeafPvs();
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355 |
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356 | protected:
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357 |
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358 | struct RayData {
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359 | // pointer to the actual ray
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360 | Ray *ray;
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361 |
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362 | // endpoints - do we need them?
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363 | #if USE_FIXEDPOINT_T
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364 | short tmin, tmax;
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365 | #else
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366 | float tmin, tmax;
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367 | #endif
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368 |
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369 | RayData():ray(NULL) {}
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370 | RayData(Ray *r):ray(r), tmin(0),
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371 |
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372 | #if USE_FIXEDPOINT_T
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373 | #define FIXEDPOINT_ONE 0x7FFE
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374 | // tmax(0xFFFF)
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375 | tmax(FIXEDPOINT_ONE)
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376 | #else
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377 | tmax(1.0f)
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378 | #endif
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379 | {}
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380 |
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381 | RayData(Ray *r,
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382 | const float _min,
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383 | const float _max
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384 | ):ray(r) {
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385 | SetTMin(_min);
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386 | SetTMax(_max);
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387 | }
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388 |
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389 | RayData(Ray *r,
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390 | const short _min,
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391 | const float _max
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392 | ):ray(r), tmin(_min) {
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393 | SetTMax(_max);
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394 | }
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395 |
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396 | RayData(Ray *r,
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397 | const float _min,
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398 | const short _max
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399 | ):ray(r), tmax(_max) {
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400 | SetTMin(_min);
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401 | }
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402 |
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403 | friend bool operator<(const RayData &a, const RayData &b) {
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404 | return a.ray < b.ray;
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405 | }
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406 |
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407 |
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408 | float ExtrapOrigin(const int axis) const {
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409 | return ray->GetLoc(axis) + GetTMin()*ray->GetDir(axis);
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410 | }
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411 |
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412 | float ExtrapTermination(const int axis) const {
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413 | return ray->GetLoc(axis) + GetTMax()*ray->GetDir(axis);
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414 | }
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415 |
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416 | #if USE_FIXEDPOINT_T
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417 | float GetTMin () const { return tmin/(float)(FIXEDPOINT_ONE); }
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418 | float GetTMax () const { return tmax/(float)(FIXEDPOINT_ONE); }
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419 |
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420 | void SetTMin (const float t) {
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421 | tmin = (short) (t*(float)(FIXEDPOINT_ONE));
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422 | }
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423 |
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424 | void SetTMax (const float t) {
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425 | tmax = (short) (t*(float)(FIXEDPOINT_ONE));
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426 | tmax++;
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427 | // if (tmax!=0xFFFF)
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428 | // tmax++;
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429 | }
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430 | #else
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431 | float GetTMin () const { return tmin; }
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432 | float GetTMax () const { return tmax; }
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433 |
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434 | void SetTMin (const float t) { tmin = t; }
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435 | void SetTMax (const float t) { tmax = t; }
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436 | #endif
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437 | };
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438 |
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439 | struct RayTraversalData {
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440 | KdNode *mNode;
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441 | Vector3 mExitPoint;
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442 | float mMaxT;
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443 |
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444 | RayTraversalData() {}
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445 | RayTraversalData(KdNode *n,
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446 | const Vector3 &p,
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447 | const float maxt):
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448 | mNode(n), mExitPoint(p), mMaxT(maxt) {}
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449 | };
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450 |
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451 | // --------------------------------------------------------------
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452 | // For sorting objects
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453 | // --------------------------------------------------------------
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454 | struct SortableEntry
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455 | {
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456 | enum {
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457 | BOX_MIN,
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458 | BOX_MAX
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459 | };
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460 |
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461 | int type;
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462 | float value;
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463 | Intersectable *intersectable;
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464 |
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465 | SortableEntry() {}
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466 | SortableEntry(const int t, const float v, Intersectable *i):type(t),
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467 | value(v),
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468 | intersectable(i) {}
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469 |
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470 | bool operator<(const SortableEntry &b) const {
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471 | return value < b.value;
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472 | }
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473 |
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474 | };
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475 |
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476 | // reusable array of split candidates
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477 | vector<SortableEntry> *splitCandidates;
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478 |
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479 | float
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480 | BestCostRatio(
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481 | KdLeaf *node,
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482 | const AxisAlignedBox3 &box,
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483 | const int axis,
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484 | float &position,
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485 | int &objectsBack,
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486 | int &objectsFront
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487 | );
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488 |
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489 | void
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490 | SortSplitCandidates(
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491 | KdLeaf *node,
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492 | const int axis
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493 | );
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494 |
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495 | void
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496 | EvaluateLeafStats(const TraversalData &data);
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497 |
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498 | KdNode *
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499 | SubdivideNode(
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500 | KdLeaf *leaf,
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501 | const AxisAlignedBox3 &box,
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502 | AxisAlignedBox3 &backBBox,
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503 | AxisAlignedBox3 &frontBBox
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504 | );
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505 |
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506 | bool
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507 | TerminationCriteriaMet(const KdLeaf *leaf);
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508 |
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509 | int
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510 | SelectPlane(KdLeaf *leaf,
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511 | const AxisAlignedBox3 &box,
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512 | float &position
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513 | );
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514 |
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515 |
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516 |
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517 | float mSplitBorder;
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518 | int mTermMaxDepth;
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519 | int mTermMinCost;
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520 | float mMaxCostRatio;
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521 | float mCt_div_ci;
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522 | int mSplitMethod;
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523 | bool mSahUseFaces;
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524 | /// root of the tree
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525 | KdNode *mRoot;
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526 | /// bounding box of the tree root
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527 | AxisAlignedBox3 mBox;
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528 | KdTreeStatistics mStat;
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529 |
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530 | };
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531 |
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532 |
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533 |
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534 |
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535 |
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536 |
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537 | #endif
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