2015-06-08 11:25:35 +08:00
										 
									 
								 
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								/* ----------------------------------------------------------------------------
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								 * GTSAM Copyright 2010, Georgia Tech Research Corporation,
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								 * Atlanta, Georgia 30332-0415
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								 * All Rights Reserved
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								 * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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								 * See LICENSE for the license information
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								 * -------------------------------------------------------------------------- */
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								/**
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								 * @file testGeneralSFMFactorB.cpp
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								 * @author Frank Dellaert
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								 * @brief test general SFM class, with nonlinear optimization and BAL files
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								 */
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								#include <gtsam/slam/dataset.h>
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								#include <gtsam/slam/GeneralSFMFactor.h>
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								#include <gtsam/geometry/Point3.h>
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								#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
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								#include <gtsam/nonlinear/NonlinearFactorGraph.h>
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								#include <gtsam/nonlinear/NonlinearOptimizer.h>
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								#include <gtsam/nonlinear/Values.h>
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								#include <gtsam/inference/Symbol.h>
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								#include <gtsam/linear/NoiseModel.h>
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								#include <CppUnitLite/Failure.h>
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								#include <CppUnitLite/Test.h>
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								#include <CppUnitLite/TestRegistry.h>
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								#include <CppUnitLite/TestResult.h>
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								#include <boost/foreach.hpp>
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								#include <stddef.h>
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								#include <stdexcept>
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								#include <string>
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								using namespace std;
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								using namespace gtsam;
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								typedef GeneralSFMFactor<PinholeCamera<Cal3Bundler>, Point3> sfmFactor;
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								using symbol_shorthand::P;
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								/* ************************************************************************* */
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								TEST(PinholeCamera, BAL) {
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								  string filename = findExampleDataFile("dubrovnik-3-7-pre");
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								  SfM_data db;
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								  bool success = readBAL(filename, db);
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								  if (!success) throw runtime_error("Could not access file!");
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								  SharedNoiseModel unit2 = noiseModel::Unit::Create(2);
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								  NonlinearFactorGraph graph;
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								  for (size_t j = 0; j < db.number_tracks(); j++) {
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								    BOOST_FOREACH (const SfM_Measurement& m, db.tracks[j].measurements)
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								      graph.push_back(sfmFactor(m.second, unit2, m.first, P(j)));
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								  }
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								  Values initial = initialCamerasAndPointsEstimate(db);
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								  LevenbergMarquardtOptimizer lm(graph, initial);
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								  Values actual = lm.optimize();
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								  double actualError = graph.error(actual);
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											2015-07-06 03:18:34 +08:00
										 
									 
								 
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								  EXPECT_DOUBLES_EQUAL(0.0199833, actualError, 1e-5);
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											2015-06-08 11:25:35 +08:00
										 
									 
								 
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								}
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								/* ************************************************************************* */
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								int main() {
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								  TestResult tr;
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								  return TestRegistry::runAllTests(tr);
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								}
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								/* ************************************************************************* */
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