00001 //---------------------------------------------------------------------- 00002 // File: bd_pr_search.cpp 00003 // Programmer: David Mount 00004 // Description: Priority search for bd-trees 00005 // Last modified: 01/04/05 (Version 1.0) 00006 //---------------------------------------------------------------------- 00007 // Copyright (c) 1997-2005 University of Maryland and Sunil Arya and 00008 // David Mount. All Rights Reserved. 00009 // 00010 // This software and related documentation is part of the Approximate 00011 // Nearest Neighbor Library (ANN). This software is provided under 00012 // the provisions of the Lesser GNU Public License (LGPL). See the 00013 // file ../ReadMe.txt for further information. 00014 // 00015 // The University of Maryland (U.M.) and the authors make no 00016 // representations about the suitability or fitness of this software for 00017 // any purpose. It is provided "as is" without express or implied 00018 // warranty. 00019 //---------------------------------------------------------------------- 00020 //History: 00021 // Revision 0.1 03/04/98 00022 // Initial release 00023 //---------------------------------------------------------------------- 00024 00025 #include "bd_tree.h" // bd-tree declarations 00026 #include "kd_pr_search.h" // kd priority search declarations 00027 00028 //---------------------------------------------------------------------- 00029 // Approximate priority searching for bd-trees. 00030 // See the file kd_pr_search.cc for general information on the 00031 // approximate nearest neighbor priority search algorithm. Here 00032 // we include the extensions for shrinking nodes. 00033 //---------------------------------------------------------------------- 00034 00035 //---------------------------------------------------------------------- 00036 // bd_shrink::ann_search - search a shrinking node 00037 //---------------------------------------------------------------------- 00038 00039 void ANNbd_shrink::ann_pri_search(ANNdist box_dist) 00040 { 00041 ANNdist inner_dist = 0; // distance to inner box 00042 for (int i = 0; i < n_bnds; i++) { // is query point in the box? 00043 if (bnds[i].out(ANNprQ)) { // outside this bounding side? 00044 // add to inner distance 00045 inner_dist = (ANNdist) ANN_SUM(inner_dist, bnds[i].dist(ANNprQ)); 00046 } 00047 } 00048 if (inner_dist <= box_dist) { // if inner box is closer 00049 if (child[ANN_OUT] != KD_TRIVIAL) // enqueue outer if not trivial 00050 ANNprBoxPQ->insert(box_dist,child[ANN_OUT]); 00051 // continue with inner child 00052 child[ANN_IN]->ann_pri_search(inner_dist); 00053 } 00054 else { // if outer box is closer 00055 if (child[ANN_IN] != KD_TRIVIAL) // enqueue inner if not trivial 00056 ANNprBoxPQ->insert(inner_dist,child[ANN_IN]); 00057 // continue with outer child 00058 child[ANN_OUT]->ann_pri_search(box_dist); 00059 } 00060 ANN_FLOP(3*n_bnds) // increment floating ops 00061 ANN_SHR(1) // one more shrinking node 00062 }