1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
3 // http://code.google.com/p/ceres-solver/
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29 // Author: kushalav@google.com (Avanish Kushal)
30 
31 // This include must come before any #ifndef check on Ceres compile options.
32 #include "ceres/internal/port.h"
33 
34 #ifndef CERES_NO_SUITESPARSE
35 
36 #include "ceres/visibility.h"
37 
38 #include <cmath>
39 #include <ctime>
40 #include <algorithm>
41 #include <set>
42 #include <vector>
43 #include <utility>
44 #include "ceres/block_structure.h"
45 #include "ceres/collections_port.h"
46 #include "ceres/graph.h"
47 #include "glog/logging.h"
48 
49 namespace ceres {
50 namespace internal {
51 
ComputeVisibility(const CompressedRowBlockStructure & block_structure,const int num_eliminate_blocks,vector<set<int>> * visibility)52 void ComputeVisibility(const CompressedRowBlockStructure& block_structure,
53                        const int num_eliminate_blocks,
54                        vector< set<int> >* visibility) {
55   CHECK_NOTNULL(visibility);
56 
57   // Clear the visibility vector and resize it to hold a
58   // vector for each camera.
59   visibility->resize(0);
60   visibility->resize(block_structure.cols.size() - num_eliminate_blocks);
61 
62   for (int i = 0; i < block_structure.rows.size(); ++i) {
63     const vector<Cell>& cells = block_structure.rows[i].cells;
64     int block_id = cells[0].block_id;
65     // If the first block is not an e_block, then skip this row block.
66     if (block_id >= num_eliminate_blocks) {
67       continue;
68     }
69 
70     for (int j = 1; j < cells.size(); ++j) {
71       int camera_block_id = cells[j].block_id - num_eliminate_blocks;
72       DCHECK_GE(camera_block_id, 0);
73       DCHECK_LT(camera_block_id, visibility->size());
74       (*visibility)[camera_block_id].insert(block_id);
75     }
76   }
77 }
78 
CreateSchurComplementGraph(const vector<set<int>> & visibility)79 Graph<int>* CreateSchurComplementGraph(const vector<set<int> >& visibility) {
80   const time_t start_time = time(NULL);
81   // Compute the number of e_blocks/point blocks. Since the visibility
82   // set for each e_block/camera contains the set of e_blocks/points
83   // visible to it, we find the maximum across all visibility sets.
84   int num_points = 0;
85   for (int i = 0; i < visibility.size(); i++) {
86     if (visibility[i].size() > 0) {
87       num_points = max(num_points, (*visibility[i].rbegin()) + 1);
88     }
89   }
90 
91   // Invert the visibility. The input is a camera->point mapping,
92   // which tells us which points are visible in which
93   // cameras. However, to compute the sparsity structure of the Schur
94   // Complement efficiently, its better to have the point->camera
95   // mapping.
96   vector<set<int> > inverse_visibility(num_points);
97   for (int i = 0; i < visibility.size(); i++) {
98     const set<int>& visibility_set = visibility[i];
99     for (set<int>::const_iterator it = visibility_set.begin();
100          it != visibility_set.end();
101          ++it) {
102       inverse_visibility[*it].insert(i);
103     }
104   }
105 
106   // Map from camera pairs to number of points visible to both cameras
107   // in the pair.
108   HashMap<pair<int, int>, int > camera_pairs;
109 
110   // Count the number of points visible to each camera/f_block pair.
111   for (vector<set<int> >::const_iterator it = inverse_visibility.begin();
112        it != inverse_visibility.end();
113        ++it) {
114     const set<int>& inverse_visibility_set = *it;
115     for (set<int>::const_iterator camera1 = inverse_visibility_set.begin();
116          camera1 != inverse_visibility_set.end();
117          ++camera1) {
118       set<int>::const_iterator camera2 = camera1;
119       for (++camera2; camera2 != inverse_visibility_set.end(); ++camera2) {
120         ++(camera_pairs[make_pair(*camera1, *camera2)]);
121       }
122     }
123   }
124 
125   Graph<int>* graph = new Graph<int>();
126 
127   // Add vertices and initialize the pairs for self edges so that self
128   // edges are guaranteed. This is needed for the Canonical views
129   // algorithm to work correctly.
130   static const double kSelfEdgeWeight = 1.0;
131   for (int i = 0; i < visibility.size(); ++i) {
132     graph->AddVertex(i);
133     graph->AddEdge(i, i, kSelfEdgeWeight);
134   }
135 
136   // Add an edge for each camera pair.
137   for (HashMap<pair<int, int>, int>::const_iterator it = camera_pairs.begin();
138        it != camera_pairs.end();
139        ++it) {
140     const int camera1 = it->first.first;
141     const int camera2 = it->first.second;
142     CHECK_NE(camera1, camera2);
143 
144     const int count = it->second;
145     // Static cast necessary for Windows.
146     const double weight = static_cast<double>(count) /
147         (sqrt(static_cast<double>(
148                   visibility[camera1].size() * visibility[camera2].size())));
149     graph->AddEdge(camera1, camera2, weight);
150   }
151 
152   VLOG(2) << "Schur complement graph time: " << (time(NULL) - start_time);
153   return graph;
154 }
155 
156 }  // namespace internal
157 }  // namespace ceres
158 
159 #endif  // CERES_NO_SUITESPARSE
160