1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071 |
- /* ----------------------------------------------------------------------------
- * GTSAM Copyright 2010, Georgia Tech Research Corporation,
- * Atlanta, Georgia 30332-0415
- * All Rights Reserved
- * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
- * See LICENSE for the license information
- * -------------------------------------------------------------------------- */
- /**
- * @file testGeneralSFMFactorB.cpp
- * @author Frank Dellaert
- * @brief test general SFM class, with nonlinear optimization and BAL files
- */
- #include <gtsam/slam/dataset.h>
- #include <gtsam/slam/GeneralSFMFactor.h>
- #include <gtsam/geometry/Point3.h>
- #include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
- #include <gtsam/nonlinear/NonlinearFactorGraph.h>
- #include <gtsam/nonlinear/NonlinearOptimizer.h>
- #include <gtsam/nonlinear/Values.h>
- #include <gtsam/inference/Symbol.h>
- #include <gtsam/linear/NoiseModel.h>
- #include <CppUnitLite/Failure.h>
- #include <CppUnitLite/Test.h>
- #include <CppUnitLite/TestRegistry.h>
- #include <CppUnitLite/TestResult.h>
- #include <stddef.h>
- #include <stdexcept>
- #include <string>
- using namespace std;
- using namespace gtsam;
- typedef GeneralSFMFactor<PinholeCamera<Cal3Bundler>, Point3> sfmFactor;
- using symbol_shorthand::P;
- /* ************************************************************************* */
- TEST(PinholeCamera, BAL) {
- string filename = findExampleDataFile("dubrovnik-3-7-pre");
- SfmData db;
- bool success = readBAL(filename, db);
- if (!success) throw runtime_error("Could not access file!");
- SharedNoiseModel unit2 = noiseModel::Unit::Create(2);
- NonlinearFactorGraph graph;
- for (size_t j = 0; j < db.number_tracks(); j++) {
- for (const SfmMeasurement& m: db.tracks[j].measurements)
- graph.emplace_shared<sfmFactor>(m.second, unit2, m.first, P(j));
- }
- Values initial = initialCamerasAndPointsEstimate(db);
- LevenbergMarquardtOptimizer lm(graph, initial);
- Values actual = lm.optimize();
- double actualError = graph.error(actual);
- EXPECT_DOUBLES_EQUAL(0.0199833, actualError, 1e-5);
- }
- /* ************************************************************************* */
- int main() {
- TestResult tr;
- return TestRegistry::runAllTests(tr);
- }
- /* ************************************************************************* */
|