#include <stdint.h>
#include <cassert>
#include <iostream>
#include <unordered_set>
#include "g2o/core/optimization_algorithm_factory.h"
#include "g2o/core/robust_kernel_impl.h"
#include "g2o/core/sparse_optimizer.h"
#include "g2o/solvers/structure_only/structure_only_solver.h"
#include "g2o/stuff/sampler.h"
#include "g2o/types/sba/types_six_dof_expmap.h"

Include dependency graph for ba_demo.cpp:

Classes
class	Sample

Functions
	G2O_USE_OPTIMIZATION_LIBRARY (eigen)

	G2O_USE_OPTIMIZATION_LIBRARY (dense)

int	main (int argc, const char *argv[])

Function Documentation

◆ G2O_USE_OPTIMIZATION_LIBRARY() [1/2]

G2O_USE_OPTIMIZATION_LIBRARY ( dense )

◆ G2O_USE_OPTIMIZATION_LIBRARY() [2/2]

G2O_USE_OPTIMIZATION_LIBRARY ( eigen )

◆ main()

int main	(	int	argc,
		const char *	argv[]
	)

Definition at line 58 of file ba_demo.cpp.

                                       {
  if (argc < 2) {
    cout << endl;
    cout << "Please type: " << endl;
    cout << "ba_demo [PIXEL_NOISE] [OUTLIER RATIO] [ROBUST_KERNEL] "
            "[STRUCTURE_ONLY] [DENSE]"
         << endl;
    cout << endl;
    cout << "PIXEL_NOISE: noise in image space (E.g.: 1)" << endl;
    cout << "OUTLIER_RATIO: probability of spuroius observation  (default: 0.0)"
         << endl;
    cout << "ROBUST_KERNEL: use robust kernel (0 or 1; default: 0==false)"
         << endl;
    cout << "STRUCTURE_ONLY: performed structure-only BA to get better point "
            "initializations (0 or 1; default: 0==false)"
         << endl;
    cout << "DENSE: Use dense solver (0 or 1; default: 0==false)" << endl;
    cout << endl;
    cout << "Note, if OUTLIER_RATIO is above 0, ROBUST_KERNEL should be set to "
            "1==true."
         << endl;
    cout << endl;
    exit(0);
  }
 
  double PIXEL_NOISE = atof(argv[1]);
  double OUTLIER_RATIO = 0.0;
 
  if (argc > 2) {
    OUTLIER_RATIO = atof(argv[2]);
  }
 
  bool ROBUST_KERNEL = false;
  if (argc > 3) {
    ROBUST_KERNEL = atoi(argv[3]) != 0;
  }
  bool STRUCTURE_ONLY = false;
  if (argc > 4) {
    STRUCTURE_ONLY = atoi(argv[4]) != 0;
  }
 
  bool DENSE = false;
  if (argc > 5) {
    DENSE = atoi(argv[5]) != 0;
  }
 
  cout << "PIXEL_NOISE: " << PIXEL_NOISE << endl;
  cout << "OUTLIER_RATIO: " << OUTLIER_RATIO << endl;
  cout << "ROBUST_KERNEL: " << ROBUST_KERNEL << endl;
  cout << "STRUCTURE_ONLY: " << STRUCTURE_ONLY << endl;
  cout << "DENSE: " << DENSE << endl;
 
  g2o::SparseOptimizer optimizer;
  optimizer.setVerbose(false);
  string solverName = "lm_fix6_3";
  if (DENSE) {
    solverName = "lm_dense6_3";
  } else {
#ifdef G2O_HAVE_CHOLMOD
    solverName = "lm_fix6_3_cholmod";
#else
    solverName = "lm_fix6_3";
#endif
  }
 
  g2o::OptimizationAlgorithmProperty solverProperty;
  optimizer.setAlgorithm(
      g2o::OptimizationAlgorithmFactory::instance()->construct(solverName,
                                                               solverProperty));
 
  vector<Vector3d> true_points;
  for (size_t i = 0; i < 500; ++i) {
    true_points.push_back(
        Vector3d((g2o::Sampler::uniformRand(0., 1.) - 0.5) * 3,
                 g2o::Sampler::uniformRand(0., 1.) - 0.5,
                 g2o::Sampler::uniformRand(0., 1.) + 3));
  }
 
  double focal_length = 1000.;
  Vector2d principal_point(320., 240.);
 
  vector<g2o::SE3Quat, aligned_allocator<g2o::SE3Quat> > true_poses;
  g2o::CameraParameters* cam_params =
      new g2o::CameraParameters(focal_length, principal_point, 0.);
  cam_params->setId(0);
 
  if (!optimizer.addParameter(cam_params)) {
    assert(false);
  }
 
  int vertex_id = 0;
  for (size_t i = 0; i < 15; ++i) {
    Vector3d trans(i * 0.04 - 1., 0, 0);
 
    Eigen::Quaterniond q;
    q.setIdentity();
    g2o::SE3Quat pose(q, trans);
    g2o::VertexSE3Expmap* v_se3 = new g2o::VertexSE3Expmap();
    v_se3->setId(vertex_id);
    if (i < 2) {
      v_se3->setFixed(true);
    }
    v_se3->setEstimate(pose);
    optimizer.addVertex(v_se3);
    true_poses.push_back(pose);
    vertex_id++;
  }
  int point_id = vertex_id;
  double sum_diff2 = 0;
 
  cout << endl;
  unordered_map<int, int> pointid_2_trueid;
  unordered_set<int> inliers;
 
  for (size_t i = 0; i < true_points.size(); ++i) {
    g2o::VertexPointXYZ* v_p = new g2o::VertexPointXYZ();
    v_p->setId(point_id);
    v_p->setMarginalized(true);
    v_p->setEstimate(true_points.at(i) +
                     Vector3d(g2o::Sampler::gaussRand(0., 1),
                              g2o::Sampler::gaussRand(0., 1),
                              g2o::Sampler::gaussRand(0., 1)));
    int num_obs = 0;
    for (size_t j = 0; j < true_poses.size(); ++j) {
      Vector2d z = cam_params->cam_map(true_poses.at(j).map(true_points.at(i)));
      if (z[0] >= 0 && z[1] >= 0 && z[0] < 640 && z[1] < 480) {
        ++num_obs;
      }
    }
    if (num_obs >= 2) {
      optimizer.addVertex(v_p);
      bool inlier = true;
      for (size_t j = 0; j < true_poses.size(); ++j) {
        Vector2d z =
            cam_params->cam_map(true_poses.at(j).map(true_points.at(i)));
 
        if (z[0] >= 0 && z[1] >= 0 && z[0] < 640 && z[1] < 480) {
          double sam = g2o::Sampler::uniformRand(0., 1.);
          if (sam < OUTLIER_RATIO) {
            z = Vector2d(Sample::uniform(0, 640), Sample::uniform(0, 480));
            inlier = false;
          }
          z += Vector2d(g2o::Sampler::gaussRand(0., PIXEL_NOISE),
                        g2o::Sampler::gaussRand(0., PIXEL_NOISE));
          g2o::EdgeProjectXYZ2UV* e = new g2o::EdgeProjectXYZ2UV();
          e->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(v_p));
          e->setVertex(1, dynamic_cast<g2o::OptimizableGraph::Vertex*>(
                              optimizer.vertices().find(j)->second));
          e->setMeasurement(z);
          e->information() = Matrix2d::Identity();
          if (ROBUST_KERNEL) {
            g2o::RobustKernelHuber* rk = new g2o::RobustKernelHuber;
            e->setRobustKernel(rk);
          }
          e->setParameterId(0, 0);
          optimizer.addEdge(e);
        }
      }
 
      if (inlier) {
        inliers.insert(point_id);
        Vector3d diff = v_p->estimate() - true_points[i];
 
        sum_diff2 += diff.dot(diff);
      }
      pointid_2_trueid.insert(make_pair(point_id, i));
      ++point_id;
    }
  }
  cout << endl;
  optimizer.initializeOptimization();
  optimizer.setVerbose(true);
  if (STRUCTURE_ONLY) {
    g2o::StructureOnlySolver<3> structure_only_ba;
    cout << "Performing structure-only BA:" << endl;
    g2o::OptimizableGraph::VertexContainer points;
    for (g2o::OptimizableGraph::VertexIDMap::const_iterator it =
             optimizer.vertices().begin();
         it != optimizer.vertices().end(); ++it) {
      g2o::OptimizableGraph::Vertex* v =
          static_cast<g2o::OptimizableGraph::Vertex*>(it->second);
      if (v->dimension() == 3) points.push_back(v);
    }
    structure_only_ba.calc(points, 10);
  }
  // optimizer.save("test.g2o");
  cout << endl;
  cout << "Performing full BA:" << endl;
  optimizer.optimize(10);
  cout << endl;
  cout << "Point error before optimisation (inliers only): "
       << sqrt(sum_diff2 / inliers.size()) << endl;
  sum_diff2 = 0;
  for (unordered_map<int, int>::iterator it = pointid_2_trueid.begin();
       it != pointid_2_trueid.end(); ++it) {
    g2o::HyperGraph::VertexIDMap::iterator v_it =
        optimizer.vertices().find(it->first);
    if (v_it == optimizer.vertices().end()) {
      cerr << "Vertex " << it->first << " not in graph!" << endl;
      exit(-1);
    }
    g2o::VertexPointXYZ* v_p = dynamic_cast<g2o::VertexPointXYZ*>(v_it->second);
    if (v_p == 0) {
      cerr << "Vertex " << it->first << "is not a PointXYZ!" << endl;
      exit(-1);
    }
    Vector3d diff = v_p->estimate() - true_points[it->second];
    if (inliers.find(it->first) == inliers.end()) continue;
    sum_diff2 += diff.dot(diff);
  }
  cout << "Point error after optimisation (inliers only): "
       << sqrt(sum_diff2 / inliers.size()) << endl;
  cout << endl;
}

Classes

Functions

Function Documentation

◆ G2O_USE_OPTIMIZATION_LIBRARY() [1/2]

◆ G2O_USE_OPTIMIZATION_LIBRARY() [2/2]

◆ main()