1 | #include <stack> |
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2 | #include <algorithm> |
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3 | #include <queue> |
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4 | #include "Environment.h" |
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5 | #include "Mesh.h" |
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6 | #include "KdTree.h" |
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7 | |
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8 | |
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9 | int KdNode::mailID = 1; |
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10 | |
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11 | |
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12 | KdNode::KdNode(KdInterior *parent):mParent(parent), mailbox(0) |
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13 | { |
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14 | if (parent) |
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15 | mDepth = parent->mDepth+1; |
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16 | else |
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17 | mDepth = 0; |
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18 | } |
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19 | |
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20 | KdTree::KdTree() |
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21 | { |
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22 | mRoot = new KdLeaf(NULL, 0); |
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23 | environment->GetIntValue("KdTree.Termination.maxDepth", mTermMaxDepth); |
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24 | environment->GetIntValue("KdTree.Termination.minCost", mTermMinCost); |
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25 | environment->GetFloatValue("KdTree.Termination.maxCostRatio", mMaxCostRatio); |
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26 | environment->GetFloatValue("KdTree.Termination.ct_div_ci", mCt_div_ci); |
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27 | environment->GetFloatValue("KdTree.splitBorder", mSplitBorder); |
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28 | |
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29 | environment->GetBoolValue("KdTree.sahUseFaces", mSahUseFaces); |
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30 | |
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31 | char splitType[64]; |
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32 | environment->GetStringValue("KdTree.splitMethod", splitType); |
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33 | |
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34 | mSplitMethod = SPLIT_SPATIAL_MEDIAN; |
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35 | if (strcmp(splitType, "spatialMedian") == 0) |
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36 | mSplitMethod = SPLIT_SPATIAL_MEDIAN; |
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37 | else |
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38 | if (strcmp(splitType, "objectMedian") == 0) |
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39 | mSplitMethod = SPLIT_OBJECT_MEDIAN; |
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40 | else |
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41 | if (strcmp(splitType, "SAH") == 0) |
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42 | mSplitMethod = SPLIT_SAH; |
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43 | else { |
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44 | cerr<<"Wrong kd split type "<<splitType<<endl; |
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45 | exit(1); |
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46 | } |
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47 | splitCandidates = NULL; |
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48 | } |
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49 | |
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50 | bool |
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51 | KdTree::Construct() |
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52 | { |
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53 | if (!splitCandidates) |
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54 | splitCandidates = new vector<SortableEntry>; |
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55 | |
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56 | // first construct a leaf that will get subdivide |
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57 | KdLeaf *leaf = (KdLeaf *) mRoot; |
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58 | |
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59 | mStat.nodes = 1; |
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60 | |
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61 | mBox.Initialize(); |
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62 | |
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63 | ObjectContainer::const_iterator mi; |
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64 | for ( mi = leaf->mObjects.begin(); |
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65 | mi != leaf->mObjects.end(); |
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66 | mi++) { |
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67 | mBox.Include((*mi)->GetBox()); |
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68 | } |
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69 | |
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70 | cout <<"KdTree Root Box:"<< mBox<<endl; |
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71 | mRoot = Subdivide(TraversalData(leaf, mBox, 0)); |
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72 | |
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73 | // remove the allocated array |
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74 | delete splitCandidates; |
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75 | |
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76 | return true; |
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77 | } |
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78 | |
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79 | KdNode * |
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80 | KdTree::Subdivide(const TraversalData &tdata) |
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81 | { |
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82 | |
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83 | KdNode *result = NULL; |
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84 | |
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85 | priority_queue<TraversalData> tStack; |
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86 | // stack<STraversalData> tStack; |
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87 | |
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88 | tStack.push(tdata); |
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89 | AxisAlignedBox3 backBox, frontBox; |
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90 | |
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91 | |
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92 | while (!tStack.empty()) { |
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93 | |
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94 | #if 0 |
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95 | if ( GetMemUsage() > maxMemory ) { |
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96 | // count statistics on unprocessed leafs |
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97 | while (!tStack.empty()) { |
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98 | EvaluateLeafStats(tStack.top()); |
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99 | tStack.pop(); |
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100 | } |
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101 | break; |
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102 | } |
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103 | #endif |
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104 | |
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105 | TraversalData data = tStack.top(); |
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106 | tStack.pop(); |
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107 | |
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108 | KdNode *node = SubdivideNode((KdLeaf *) data.mNode, |
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109 | data.mBox, |
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110 | backBox, |
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111 | frontBox |
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112 | ); |
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113 | if (result == NULL) |
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114 | result = node; |
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115 | |
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116 | if (!node->IsLeaf()) { |
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117 | |
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118 | KdInterior *interior = (KdInterior *) node; |
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119 | // push the children on the stack |
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120 | tStack.push(TraversalData(interior->mBack, backBox, data.mDepth+1)); |
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121 | tStack.push(TraversalData(interior->mFront, frontBox, data.mDepth+1)); |
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122 | |
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123 | } else { |
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124 | EvaluateLeafStats(data); |
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125 | } |
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126 | } |
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127 | |
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128 | return result; |
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129 | |
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130 | } |
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131 | |
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132 | |
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133 | |
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134 | bool |
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135 | KdTree::TerminationCriteriaMet(const KdLeaf *leaf) |
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136 | { |
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137 | // cerr<<"\n OBJECTS="<<leaf->mObjects.size()<<endl; |
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138 | return |
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139 | (leaf->mObjects.size() <= mTermMinCost) || |
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140 | (leaf->mDepth >= mTermMaxDepth); |
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141 | |
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142 | } |
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143 | |
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144 | |
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145 | int |
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146 | KdTree::SelectPlane(KdLeaf *leaf, |
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147 | const AxisAlignedBox3 &box, |
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148 | float &position |
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149 | ) |
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150 | { |
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151 | int axis = -1; |
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152 | |
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153 | switch (mSplitMethod) |
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154 | { |
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155 | case SPLIT_SPATIAL_MEDIAN: { |
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156 | axis = box.Size().DrivingAxis(); |
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157 | position = (box.Min()[axis] + box.Max()[axis])*0.5f; |
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158 | break; |
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159 | } |
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160 | case SPLIT_SAH: { |
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161 | int objectsBack, objectsFront; |
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162 | float costRatio; |
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163 | bool mOnlyDrivingAxis = false; |
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164 | if (mOnlyDrivingAxis) { |
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165 | axis = box.Size().DrivingAxis(); |
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166 | costRatio = BestCostRatio(leaf, |
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167 | box, |
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168 | axis, |
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169 | position, |
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170 | objectsBack, |
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171 | objectsFront); |
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172 | } else { |
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173 | costRatio = MAX_FLOAT; |
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174 | for (int i=0; i < 3; i++) { |
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175 | float p; |
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176 | float r = BestCostRatio(leaf, |
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177 | box, |
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178 | i, |
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179 | p, |
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180 | objectsBack, |
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181 | objectsFront); |
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182 | if (r < costRatio) { |
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183 | costRatio = r; |
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184 | axis = i; |
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185 | position = p; |
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186 | } |
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187 | } |
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188 | } |
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189 | |
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190 | if (costRatio > mMaxCostRatio) { |
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191 | // cout<<"Too big cost ratio "<<costRatio<<endl; |
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192 | axis = -1; |
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193 | } |
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194 | break; |
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195 | } |
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196 | |
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197 | } |
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198 | return axis; |
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199 | } |
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200 | |
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201 | KdNode * |
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202 | KdTree::SubdivideNode( |
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203 | KdLeaf *leaf, |
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204 | const AxisAlignedBox3 &box, |
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205 | AxisAlignedBox3 &backBBox, |
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206 | AxisAlignedBox3 &frontBBox |
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207 | ) |
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208 | { |
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209 | |
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210 | if (TerminationCriteriaMet(leaf)) |
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211 | return leaf; |
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212 | |
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213 | float position; |
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214 | |
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215 | // select subdivision axis |
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216 | int axis = SelectPlane( leaf, box, position ); |
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217 | |
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218 | if (axis == -1) { |
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219 | return leaf; |
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220 | } |
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221 | |
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222 | mStat.nodes+=2; |
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223 | mStat.splits[axis]++; |
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224 | |
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225 | // add the new nodes to the tree |
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226 | KdInterior *node = new KdInterior(leaf->mParent); |
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227 | |
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228 | node->mAxis = axis; |
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229 | node->mPosition = position; |
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230 | node->mBox = box; |
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231 | |
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232 | backBBox = box; |
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233 | frontBBox = box; |
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234 | |
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235 | // first count ray sides |
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236 | int objectsBack = 0; |
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237 | int objectsFront = 0; |
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238 | |
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239 | backBBox.SetMax(axis, position); |
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240 | frontBBox.SetMin(axis, position); |
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241 | |
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242 | ObjectContainer::const_iterator mi; |
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243 | |
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244 | for ( mi = leaf->mObjects.begin(); |
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245 | mi != leaf->mObjects.end(); |
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246 | mi++) { |
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247 | // determine the side of this ray with respect to the plane |
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248 | AxisAlignedBox3 box = (*mi)->GetBox(); |
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249 | if (box.Max(axis) > position ) |
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250 | objectsFront++; |
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251 | |
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252 | if (box.Min(axis) < position ) |
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253 | objectsBack++; |
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254 | } |
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255 | |
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256 | |
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257 | KdLeaf *back = new KdLeaf(node, objectsBack); |
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258 | KdLeaf *front = new KdLeaf(node, objectsFront); |
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259 | |
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260 | // replace a link from node's parent |
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261 | if ( leaf->mParent ) |
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262 | leaf->mParent->ReplaceChildLink(leaf, node); |
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263 | |
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264 | // and setup child links |
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265 | node->SetupChildLinks(back, front); |
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266 | |
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267 | for (mi = leaf->mObjects.begin(); |
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268 | mi != leaf->mObjects.end(); |
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269 | mi++) { |
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270 | // determine the side of this ray with respect to the plane |
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271 | AxisAlignedBox3 box = (*mi)->GetBox(); |
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272 | |
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273 | if (box.Max(axis) >= position ) |
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274 | front->mObjects.push_back(*mi); |
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275 | |
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276 | if (box.Min(axis) < position ) |
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277 | back->mObjects.push_back(*mi); |
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278 | |
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279 | mStat.objectRefs -= leaf->mObjects.size(); |
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280 | mStat.objectRefs += objectsBack + objectsFront; |
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281 | } |
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282 | |
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283 | delete leaf; |
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284 | return node; |
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285 | } |
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286 | |
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287 | |
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288 | |
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289 | void |
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290 | KdTreeStatistics::Print(ostream &app) const |
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291 | { |
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292 | app << "===== KdTree statistics ===============\n"; |
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293 | |
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294 | app << "#N_RAYS Number of rays )\n" |
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295 | << rays <<endl; |
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296 | app << "#N_DOMAINS ( Number of query domains )\n" |
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297 | << queryDomains <<endl; |
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298 | |
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299 | app << "#N_NODES ( Number of nodes )\n" << nodes << "\n"; |
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300 | |
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301 | app << "#N_LEAVES ( Number of leaves )\n" << Leaves() << "\n"; |
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302 | |
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303 | app << "#N_SPLITS ( Number of splits in axes x y z dx dy dz \n"; |
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304 | for (int i=0; i<7; i++) |
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305 | app << splits[i] <<" "; |
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306 | app <<endl; |
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307 | |
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308 | app << "#N_RAYREFS ( Number of rayRefs )\n" << |
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309 | rayRefs << "\n"; |
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310 | |
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311 | app << "#N_RAYRAYREFS ( Number of rayRefs / ray )\n" << |
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312 | rayRefs/(double)rays << "\n"; |
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313 | |
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314 | app << "#N_LEAFRAYREFS ( Number of rayRefs / leaf )\n" << |
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315 | rayRefs/(double)Leaves() << "\n"; |
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316 | |
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317 | app << "#N_MAXOBJECTREFS ( Max number of rayRefs / leaf )\n" << |
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318 | maxObjectRefs << "\n"; |
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319 | |
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320 | app << "#N_NONEMPTYRAYREFS ( Number of rayRefs in nonEmpty leaves / non empty leaf )\n" << |
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321 | rayRefsNonZeroQuery/(double)(Leaves() - zeroQueryNodes) << "\n"; |
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322 | |
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323 | app << "#N_LEAFDOMAINREFS ( Number of query domain Refs / leaf )\n" << |
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324 | objectRefs/(double)Leaves() << "\n"; |
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325 | |
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326 | // app << setprecision(4); |
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327 | |
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328 | app << "#N_PEMPTYLEAVES ( Percentage of leaves with zero query domains )\n"<< |
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329 | zeroQueryNodes*100/(double)Leaves()<<endl; |
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330 | |
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331 | app << "#N_PMAXDEPTHLEAVES ( Percentage of leaves at maxdepth )\n"<< |
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332 | maxDepthNodes*100/(double)Leaves()<<endl; |
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333 | |
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334 | app << "#N_PMINCOSTLEAVES ( Percentage of leaves with minCost )\n"<< |
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335 | minCostNodes*100/(double)Leaves()<<endl; |
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336 | |
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337 | app << "#N_ADDED_RAYREFS (Number of dynamically added ray references )\n"<< |
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338 | addedRayRefs<<endl; |
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339 | |
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340 | app << "#N_REMOVED_RAYREFS (Number of dynamically removed ray references )\n"<< |
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341 | removedRayRefs<<endl; |
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342 | |
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343 | // app << setprecision(4); |
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344 | |
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345 | // app << "#N_CTIME ( Construction time [s] )\n" |
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346 | // << Time() << " \n"; |
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347 | |
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348 | app << "===== END OF KdTree statistics ==========\n"; |
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349 | |
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350 | } |
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351 | |
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352 | |
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353 | |
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354 | void |
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355 | KdTree::EvaluateLeafStats(const TraversalData &data) |
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356 | { |
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357 | |
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358 | // the node became a leaf -> evaluate stats for leafs |
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359 | KdLeaf *leaf = (KdLeaf *)data.mNode; |
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360 | |
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361 | if (data.mDepth > mTermMaxDepth) |
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362 | mStat.maxDepthNodes++; |
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363 | |
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364 | if ( (int)(leaf->mObjects.size()) < mTermMinCost) |
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365 | mStat.minCostNodes++; |
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366 | |
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367 | |
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368 | if ( (int)(leaf->mObjects.size()) > mStat.maxObjectRefs) |
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369 | mStat.maxObjectRefs = leaf->mObjects.size(); |
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370 | |
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371 | } |
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372 | |
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373 | |
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374 | |
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375 | void |
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376 | KdTree::SortSplitCandidates( |
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377 | KdLeaf *node, |
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378 | const int axis |
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379 | ) |
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380 | { |
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381 | splitCandidates->clear(); |
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382 | |
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383 | int requestedSize = 2*node->mObjects.size(); |
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384 | // creates a sorted split candidates array |
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385 | if (splitCandidates->capacity() > 500000 && |
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386 | requestedSize < (int)(splitCandidates->capacity()/10) ) { |
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387 | delete splitCandidates; |
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388 | splitCandidates = new vector<SortableEntry>; |
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389 | } |
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390 | |
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391 | splitCandidates->reserve(requestedSize); |
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392 | |
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393 | // insert all queries |
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394 | for(ObjectContainer::const_iterator mi = node->mObjects.begin(); |
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395 | mi != node->mObjects.end(); |
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396 | mi++) { |
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397 | AxisAlignedBox3 box = (*mi)->GetBox(); |
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398 | |
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399 | splitCandidates->push_back(SortableEntry(SortableEntry::BOX_MIN, |
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400 | box.Min(axis), |
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401 | *mi) |
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402 | ); |
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403 | |
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404 | |
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405 | splitCandidates->push_back(SortableEntry(SortableEntry::BOX_MAX, |
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406 | box.Max(axis), |
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407 | *mi) |
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408 | ); |
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409 | } |
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410 | |
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411 | stable_sort(splitCandidates->begin(), splitCandidates->end()); |
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412 | } |
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413 | |
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414 | |
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415 | float |
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416 | KdTree::BestCostRatio( |
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417 | KdLeaf *node, |
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418 | const AxisAlignedBox3 &box, |
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419 | const int axis, |
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420 | float &position, |
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421 | int &objectsBack, |
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422 | int &objectsFront |
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423 | ) |
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424 | { |
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425 | |
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426 | SortSplitCandidates(node, axis); |
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427 | |
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428 | // go through the lists, count the number of objects left and right |
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429 | // and evaluate the following cost funcion: |
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430 | // C = ct_div_ci + (ol + or)/queries |
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431 | |
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432 | float totalIntersections = 0.0f; |
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433 | vector<SortableEntry>::const_iterator ci; |
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434 | |
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435 | for(ci = splitCandidates->begin(); |
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436 | ci < splitCandidates->end(); |
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437 | ci++) |
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438 | if ((*ci).type == SortableEntry::BOX_MIN) { |
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439 | totalIntersections += (*ci).intersectable->IntersectionComplexity(); |
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440 | } |
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441 | |
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442 | float intersectionsLeft = 0; |
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443 | float intersectionsRight = totalIntersections; |
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444 | |
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445 | int objectsLeft = 0, objectsRight = node->mObjects.size(); |
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446 | |
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447 | float minBox = box.Min(axis); |
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448 | float maxBox = box.Max(axis); |
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449 | float boxArea = box.SurfaceArea(); |
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450 | |
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451 | float minBand = minBox + mSplitBorder*(maxBox - minBox); |
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452 | float maxBand = minBox + (1.0f - mSplitBorder)*(maxBox - minBox); |
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453 | |
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454 | float minSum = 1e20; |
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455 | |
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456 | for(ci = splitCandidates->begin(); |
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457 | ci < splitCandidates->end(); |
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458 | ci++) { |
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459 | switch ((*ci).type) { |
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460 | case SortableEntry::BOX_MIN: |
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461 | objectsLeft++; |
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462 | intersectionsLeft += (*ci).intersectable->IntersectionComplexity(); |
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463 | break; |
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464 | case SortableEntry::BOX_MAX: |
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465 | objectsRight--; |
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466 | intersectionsRight -= (*ci).intersectable->IntersectionComplexity(); |
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467 | break; |
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468 | } |
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469 | |
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470 | if ((*ci).value > minBand && (*ci).value < maxBand) { |
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471 | AxisAlignedBox3 lbox = box; |
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472 | AxisAlignedBox3 rbox = box; |
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473 | lbox.SetMax(axis, (*ci).value); |
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474 | rbox.SetMin(axis, (*ci).value); |
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475 | |
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476 | float sum; |
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477 | if (mSahUseFaces) |
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478 | sum = intersectionsLeft*lbox.SurfaceArea() + intersectionsRight*rbox.SurfaceArea(); |
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479 | else |
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480 | sum = objectsLeft*lbox.SurfaceArea() + objectsRight*rbox.SurfaceArea(); |
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481 | |
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482 | // cout<<"pos="<<(*ci).value<<"\t q=("<<ql<<","<<qr<<")\t r=("<<rl<<","<<rr<<")"<<endl; |
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483 | // cout<<"cost= "<<sum<<endl; |
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484 | |
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485 | if (sum < minSum) { |
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486 | minSum = sum; |
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487 | position = (*ci).value; |
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488 | |
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489 | objectsBack = objectsLeft; |
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490 | objectsFront = objectsRight; |
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491 | } |
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492 | } |
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493 | } |
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494 | |
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495 | float oldCost = mSahUseFaces ? totalIntersections : node->mObjects.size(); |
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496 | float newCost = mCt_div_ci + minSum/boxArea; |
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497 | float ratio = newCost/oldCost; |
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498 | |
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499 | #if 0 |
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500 | cout<<"===================="<<endl; |
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501 | cout<<"costRatio="<<ratio<<" pos="<<position<<" t="<<(position - minBox)/(maxBox - minBox) |
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502 | <<"\t o=("<<objectsBack<<","<<objectsFront<<")"<<endl; |
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503 | #endif |
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504 | return ratio; |
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505 | } |
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506 | |
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507 | int |
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508 | KdTree::CastRay( |
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509 | Ray &ray |
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510 | ) |
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511 | { |
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512 | int hits = 0; |
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513 | |
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514 | stack<RayTraversalData> tStack; |
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515 | |
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516 | float maxt = 1e6; |
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517 | float mint = 0; |
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518 | |
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519 | Intersectable::NewMail(); |
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520 | |
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521 | if (!mBox.GetMinMaxT(ray, &mint, &maxt)) |
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522 | return 0; |
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523 | |
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524 | if (mint < 0) |
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525 | mint = 0; |
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526 | |
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527 | maxt += Limits::Threshold; |
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528 | |
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529 | Vector3 entp = ray.Extrap(mint); |
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530 | Vector3 extp = ray.Extrap(maxt); |
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531 | |
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532 | KdNode *node = mRoot; |
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533 | KdNode *farChild; |
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534 | float position; |
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535 | int axis; |
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536 | |
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537 | while (1) { |
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538 | if (!node->IsLeaf()) { |
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539 | KdInterior *in = (KdInterior *) node; |
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540 | position = in->mPosition; |
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541 | axis = in->mAxis; |
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542 | |
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543 | if (entp[axis] <= position) { |
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544 | if (extp[axis] <= position) { |
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545 | node = in->mBack; |
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546 | // cases N1,N2,N3,P5,Z2,Z3 |
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547 | continue; |
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548 | } else { |
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549 | // case N4 |
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550 | node = in->mBack; |
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551 | farChild = in->mFront; |
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552 | } |
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553 | } |
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554 | else { |
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555 | if (position <= extp[axis]) { |
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556 | node = in->mFront; |
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557 | // cases P1,P2,P3,N5,Z1 |
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558 | continue; |
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559 | } else { |
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560 | node = in->mFront; |
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561 | farChild = in->mBack; |
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562 | // case P4 |
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563 | } |
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564 | } |
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565 | // $$ modification 3.5.2004 - hints from Kamil Ghais |
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566 | // case N4 or P4 |
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567 | float tdist = (position - ray.GetLoc(axis)) / ray.GetDir(axis); |
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568 | tStack.push(RayTraversalData(farChild, extp, maxt)); |
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569 | extp = ray.GetLoc() + ray.GetDir()*tdist; |
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570 | maxt = tdist; |
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571 | } else { |
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572 | // compute intersection with all objects in this leaf |
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573 | KdLeaf *leaf = (KdLeaf *) node; |
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574 | ray.leaves.push_back(leaf); |
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575 | |
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576 | ObjectContainer::const_iterator mi; |
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577 | for ( mi = leaf->mObjects.begin(); |
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578 | mi != leaf->mObjects.end(); |
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579 | mi++) { |
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580 | Intersectable *object = *mi; |
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581 | if (!object->Mailed() ) { |
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582 | object->Mail(); |
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583 | //ray.meshes.push_back(mesh); |
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584 | hits += object->CastRay(ray); |
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585 | } |
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586 | } |
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587 | |
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588 | if (hits && ray.GetType() == Ray::LOCAL_RAY) |
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589 | if (ray.intersections[0].mT <= maxt) |
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590 | break; |
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591 | |
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592 | // get the next node from the stack |
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593 | if (tStack.empty()) |
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594 | break; |
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595 | |
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596 | entp = extp; |
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597 | mint = maxt; |
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598 | RayTraversalData &s = tStack.top(); |
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599 | node = s.mNode; |
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600 | extp = s.mExitPoint; |
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601 | maxt = s.mMaxT; |
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602 | tStack.pop(); |
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603 | } |
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604 | } |
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605 | |
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606 | |
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607 | return hits; |
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608 | } |
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609 | |
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610 | void |
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611 | KdTree::CollectObjects(KdNode *n, ObjectContainer &objects) |
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612 | { |
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613 | stack<KdNode *> nodeStack; |
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614 | |
---|
615 | nodeStack.push(n); |
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616 | |
---|
617 | while (!nodeStack.empty()) { |
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618 | KdNode *node = nodeStack.top(); |
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619 | nodeStack.pop(); |
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620 | if (node->IsLeaf()) { |
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621 | KdLeaf *leaf = (KdLeaf *)node; |
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622 | for (int j=0; j < leaf->mObjects.size(); j++) { |
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623 | Intersectable *object = leaf->mObjects[j]; |
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624 | if (!object->Mailed()) { |
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625 | object->Mail(); |
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626 | objects.push_back(object); |
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627 | } |
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628 | } |
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629 | } else { |
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630 | KdInterior *interior = (KdInterior *)node; |
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631 | nodeStack.push(interior->mFront); |
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632 | nodeStack.push(interior->mBack); |
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633 | } |
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634 | } |
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635 | } |
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636 | |
---|
637 | // Find random neighbor which was not mailed |
---|
638 | KdNode * |
---|
639 | KdTree::FindRandomNeighbor(KdNode *n, |
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640 | bool onlyUnmailed |
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641 | ) |
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642 | { |
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643 | stack<KdNode *> nodeStack; |
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644 | |
---|
645 | nodeStack.push(mRoot); |
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646 | |
---|
647 | AxisAlignedBox3 box = GetBox(n); |
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648 | int mask = rand(); |
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649 | |
---|
650 | while (!nodeStack.empty()) { |
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651 | KdNode *node = nodeStack.top(); |
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652 | nodeStack.pop(); |
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653 | if (node->IsLeaf()) { |
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654 | if ( node != n && (!onlyUnmailed || !node->Mailed()) ) |
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655 | return node; |
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656 | } else { |
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657 | KdInterior *interior = (KdInterior *)node; |
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658 | if (interior->mPosition > box.Max(interior->mAxis)) |
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659 | nodeStack.push(interior->mBack); |
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660 | else |
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661 | if (interior->mPosition < box.Min(interior->mAxis)) |
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662 | nodeStack.push(interior->mFront); |
---|
663 | else { |
---|
664 | // random decision |
---|
665 | if (mask&1) |
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666 | nodeStack.push(interior->mBack); |
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667 | else |
---|
668 | nodeStack.push(interior->mFront); |
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669 | mask = mask>>1; |
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670 | } |
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671 | } |
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672 | } |
---|
673 | |
---|
674 | return NULL; |
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675 | } |
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676 | |
---|
677 | int |
---|
678 | KdTree::FindNeighbors(KdNode *n, |
---|
679 | vector<KdNode *> &neighbors, |
---|
680 | bool onlyUnmailed |
---|
681 | ) |
---|
682 | { |
---|
683 | stack<KdNode *> nodeStack; |
---|
684 | |
---|
685 | nodeStack.push(mRoot); |
---|
686 | |
---|
687 | AxisAlignedBox3 box = GetBox(n); |
---|
688 | |
---|
689 | while (!nodeStack.empty()) { |
---|
690 | KdNode *node = nodeStack.top(); |
---|
691 | nodeStack.pop(); |
---|
692 | if (node->IsLeaf()) { |
---|
693 | if ( node != n && (!onlyUnmailed || !node->Mailed()) ) |
---|
694 | neighbors.push_back(node); |
---|
695 | } else { |
---|
696 | KdInterior *interior = (KdInterior *)node; |
---|
697 | if (interior->mPosition > box.Max(interior->mAxis)) |
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698 | nodeStack.push(interior->mBack); |
---|
699 | else |
---|
700 | if (interior->mPosition < box.Min(interior->mAxis)) |
---|
701 | nodeStack.push(interior->mFront); |
---|
702 | else { |
---|
703 | // random decision |
---|
704 | nodeStack.push(interior->mBack); |
---|
705 | nodeStack.push(interior->mFront); |
---|
706 | } |
---|
707 | } |
---|
708 | } |
---|
709 | |
---|
710 | return neighbors.size(); |
---|
711 | } |
---|
712 | |
---|
713 | void |
---|
714 | KdTree::CollectLeaves(vector<KdLeaf *> &leaves) |
---|
715 | { |
---|
716 | stack<KdNode *> nodeStack; |
---|
717 | nodeStack.push(mRoot); |
---|
718 | |
---|
719 | while (!nodeStack.empty()) { |
---|
720 | KdNode *node = nodeStack.top(); |
---|
721 | nodeStack.pop(); |
---|
722 | if (node->IsLeaf()) { |
---|
723 | KdLeaf *leaf = (KdLeaf *)node; |
---|
724 | leaves.push_back(leaf); |
---|
725 | } else { |
---|
726 | KdInterior *interior = (KdInterior *)node; |
---|
727 | nodeStack.push(interior->mBack); |
---|
728 | nodeStack.push(interior->mFront); |
---|
729 | } |
---|
730 | } |
---|
731 | } |
---|
732 | |
---|
733 | |
---|
734 | int |
---|
735 | KdTree::CollectLeafPvs() |
---|
736 | { |
---|
737 | int totalPvsSize = 0; |
---|
738 | stack<KdNode *> nodeStack; |
---|
739 | |
---|
740 | nodeStack.push(mRoot); |
---|
741 | |
---|
742 | while (!nodeStack.empty()) { |
---|
743 | KdNode *node = nodeStack.top(); |
---|
744 | nodeStack.pop(); |
---|
745 | if (node->IsLeaf()) { |
---|
746 | KdLeaf *leaf = (KdLeaf *)node; |
---|
747 | for (int j=0; j < leaf->mObjects.size(); j++) { |
---|
748 | Intersectable *object = leaf->mObjects[j]; |
---|
749 | if (!object->Mailed()) { |
---|
750 | object->Mail(); |
---|
751 | // add this node to pvs of all nodes it can see |
---|
752 | KdPvsMap::iterator ni = object->mKdPvs.mEntries.begin(); |
---|
753 | for (; ni != object->mKdPvs.mEntries.end(); ni++) { |
---|
754 | KdNode *node = (*ni).first; |
---|
755 | // $$ JB TEMPORARY solution -> should add object PVS or explictly computed |
---|
756 | // kd tree PVS |
---|
757 | if (leaf->mKdPvs.AddNodeSample(node)) |
---|
758 | totalPvsSize++; |
---|
759 | } |
---|
760 | } |
---|
761 | } |
---|
762 | } else { |
---|
763 | KdInterior *interior = (KdInterior *)node; |
---|
764 | nodeStack.push(interior->mFront); |
---|
765 | nodeStack.push(interior->mBack); |
---|
766 | } |
---|
767 | } |
---|
768 | |
---|
769 | return totalPvsSize; |
---|
770 | } |
---|