Initial commit of Ceres Solver.
diff --git a/internal/ceres/visibility.cc b/internal/ceres/visibility.cc
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+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
+// http://code.google.com/p/ceres-solver/
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions are met:
+//
+// * Redistributions of source code must retain the above copyright notice,
+//   this list of conditions and the following disclaimer.
+// * Redistributions in binary form must reproduce the above copyright notice,
+//   this list of conditions and the following disclaimer in the documentation
+//   and/or other materials provided with the distribution.
+// * Neither the name of Google Inc. nor the names of its contributors may be
+//   used to endorse or promote products derived from this software without
+//   specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+// POSSIBILITY OF SUCH DAMAGE.
+//
+// Author: kushalav@google.com (Avanish Kushal)
+
+#include <cmath>
+#include <ctime>
+#include <algorithm>
+#include <set>
+#include <vector>
+#include <utility>
+
+#include <glog/logging.h>
+#include "ceres/block_structure.h"
+#include "ceres/collections_port.h"
+#include "ceres/graph.h"
+
+namespace ceres {
+namespace internal {
+
+void ComputeVisibility(const CompressedRowBlockStructure& block_structure,
+                       const int num_eliminate_blocks,
+                       vector< set<int> >* visibility) {
+  CHECK_NOTNULL(visibility);
+
+  // Clear the visibility vector and resize it to hold a
+  // vector for each camera.
+  visibility->resize(0);
+  visibility->resize(block_structure.cols.size() - num_eliminate_blocks);
+
+  for (int i = 0; i < block_structure.rows.size(); ++i) {
+    const vector<Cell>& cells = block_structure.rows[i].cells;
+    int block_id = cells[0].block_id;
+    // If the first block is not an e_block, then skip this row block.
+    if (block_id >= num_eliminate_blocks) {
+      continue;
+    }
+
+    for (int j = 1; j < cells.size(); ++j) {
+      int camera_block_id = cells[j].block_id - num_eliminate_blocks;
+      DCHECK_GE(camera_block_id, 0);
+      DCHECK_LT(camera_block_id, visibility->size());
+      (*visibility)[camera_block_id].insert(block_id);
+    }
+  }
+}
+
+Graph<int>* CreateSchurComplementGraph(const vector<set<int> >& visibility) {
+  const time_t start_time = time(NULL);
+  // Compute the number of e_blocks/point blocks. Since the visibility
+  // set for each e_block/camera contains the set of e_blocks/points
+  // visible to it, we find the maximum across all visibility sets.
+  int num_points = 0;
+  for (int i = 0; i < visibility.size(); i++) {
+    if (visibility[i].size() > 0) {
+      num_points = max(num_points, (*visibility[i].rbegin()) + 1);
+    }
+  }
+
+  // Invert the visibility. The input is a camera->point mapping,
+  // which tells us which points are visible in which
+  // cameras. However, to compute the sparsity structure of the Schur
+  // Complement efficiently, its better to have the point->camera
+  // mapping.
+  vector<set<int> > inverse_visibility(num_points);
+  for (int i = 0; i < visibility.size(); i++) {
+    const set<int>& visibility_set = visibility[i];
+    for (set<int>::const_iterator it = visibility_set.begin();
+         it != visibility_set.end();
+         ++it) {
+      inverse_visibility[*it].insert(i);
+    }
+  }
+
+  // Map from camera pairs to number of points visible to both cameras
+  // in the pair.
+  HashMap<pair<int, int>, int > camera_pairs;
+
+  // Count the number of points visible to each camera/f_block pair.
+  for (vector<set<int> >::const_iterator it = inverse_visibility.begin();
+       it != inverse_visibility.end();
+       ++it) {
+    const set<int>& inverse_visibility_set = *it;
+    for (set<int>::const_iterator camera1 = inverse_visibility_set.begin();
+         camera1 != inverse_visibility_set.end();
+         ++camera1) {
+      set<int>::const_iterator camera2 = camera1;
+      for (++camera2; camera2 != inverse_visibility_set.end(); ++camera2) {
+        ++(camera_pairs[make_pair(*camera1, *camera2)]);
+      }
+    }
+  }
+
+  Graph<int>* graph = new Graph<int>();
+
+  // Add vertices and initialize the pairs for self edges so that self
+  // edges are guaranteed. This is needed for the Canonical views
+  // algorithm to work correctly.
+  static const double kSelfEdgeWeight = 1.0;
+  for (int i = 0; i < visibility.size(); ++i) {
+    graph->AddVertex(i);
+    graph->AddEdge(i, i, kSelfEdgeWeight);
+  }
+
+  // Add an edge for each camera pair.
+  for (HashMap<pair<int, int>, int>::const_iterator it = camera_pairs.begin();
+       it != camera_pairs.end();
+       ++it) {
+    const int camera1 = it->first.first;
+    const int camera2 = it->first.second;
+    CHECK_NE(camera1, camera2);
+
+    const int count = it->second;
+    const double weight = static_cast<double>(count) /
+        (sqrt(visibility[camera1].size() * visibility[camera2].size()));
+    graph->AddEdge(camera1, camera2, weight);
+  }
+
+  VLOG(2) << "Schur complement graph time: " << (time(NULL) - start_time);
+  return graph;
+}
+
+}  // namespace internal
+}  // namespace ceres