124 lines
		
	
	
		
			4.3 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			124 lines
		
	
	
		
			4.3 KiB
		
	
	
	
		
			C++
		
	
	
| /* ----------------------------------------------------------------------------
 | |
| 
 | |
|  * 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  testProjectionFactor.cpp
 | |
|  *  @brief Unit tests for ProjectionFactor Class
 | |
|  *  @author Frank Dellaert
 | |
|  *  @date Nov 2009
 | |
|  */
 | |
| 
 | |
| #include <gtsam/slam/ProjectionFactor.h>
 | |
| #include <gtsam/nonlinear/NonlinearFactorGraph.h>
 | |
| #include <gtsam/nonlinear/Values.h>
 | |
| #include <gtsam/nonlinear/Symbol.h>
 | |
| #include <gtsam/geometry/Cal3DS2.h>
 | |
| #include <gtsam/geometry/Pose3.h>
 | |
| #include <gtsam/geometry/Point3.h>
 | |
| #include <CppUnitLite/TestHarness.h>
 | |
| 
 | |
| using namespace std;
 | |
| using namespace gtsam;
 | |
| 
 | |
| // make cube
 | |
| static Point3
 | |
| 	x000(-1, -1, -1), x001(-1, -1, +1), x010(-1, +1, -1), x011(-1, +1, +1),
 | |
| 	x100(-1, -1, -1), x101(-1, -1, +1), x110(-1, +1, -1), x111(-1, +1, +1);
 | |
| 
 | |
| // make a realistic calibration matrix
 | |
| static double fov = 60; // degrees
 | |
| static size_t w=640,h=480;
 | |
| static Cal3_S2 K(fov,w,h);
 | |
| 
 | |
| static SharedNoiseModel sigma(noiseModel::Unit::Create(1));
 | |
| static shared_ptrK sK(new Cal3_S2(K));
 | |
| 
 | |
| // Convenience for named keys
 | |
| using symbol_shorthand::X;
 | |
| using symbol_shorthand::L;
 | |
| 
 | |
| typedef GenericProjectionFactor<Pose3, Point3> MyProjectionFactor;
 | |
| 
 | |
| /* ************************************************************************* */
 | |
| TEST( ProjectionFactor, nonStandard )
 | |
| {
 | |
|   GenericProjectionFactor<Pose3, Point3, Cal3DS2> f;
 | |
| }
 | |
| 
 | |
| /* ************************************************************************* */
 | |
| TEST( ProjectionFactor, error )
 | |
|   {
 | |
| 	// Create the factor with a measurement that is 3 pixels off in x
 | |
| 	Point2 z(323.,240.);
 | |
| 	int i=1, j=1;
 | |
| 	boost::shared_ptr<MyProjectionFactor>
 | |
| 	factor(new MyProjectionFactor(z, sigma, X(i), L(j), sK));
 | |
| 
 | |
| 	// For the following values structure, the factor predicts 320,240
 | |
| 	Values config;
 | |
| 	Rot3 R;Point3 t1(0,0,-6); Pose3 x1(R,t1); config.insert(X(1), x1);
 | |
| 	Point3 l1;  config.insert(L(1), l1);
 | |
| 	// Point should project to Point2(320.,240.)
 | |
| 	CHECK(assert_equal(Vector_(2, -3.0, 0.0), factor->unwhitenedError(config)));
 | |
| 
 | |
| 	// Which yields an error of 3^2/2 = 4.5
 | |
| 	DOUBLES_EQUAL(4.5,factor->error(config),1e-9);
 | |
| 
 | |
| 	// Check linearize
 | |
| 	Ordering ordering; ordering += X(1),L(1);
 | |
|   Matrix Ax1 = Matrix_(2, 6, 0., -554.256, 0., -92.376, 0., 0., 554.256, 0., 0., 0., -92.376, 0.);
 | |
| 	Matrix Al1 = Matrix_(2, 3, 92.376, 0., 0., 0., 92.376, 0.);
 | |
| 	Vector b = Vector_(2,3.,0.);
 | |
| 	SharedDiagonal probModel1 = noiseModel::Unit::Create(2);
 | |
| 	JacobianFactor expected(ordering[X(1)], Ax1, ordering[L(1)], Al1, b, probModel1);
 | |
| 	JacobianFactor::shared_ptr actual =
 | |
| 	    boost::dynamic_pointer_cast<JacobianFactor>(factor->linearize(config, ordering));
 | |
| 	CHECK(assert_equal(expected,*actual,1e-3));
 | |
| 
 | |
| 	// linearize graph
 | |
| 	NonlinearFactorGraph graph;
 | |
| 	graph.push_back(factor);
 | |
| 	FactorGraph<GaussianFactor> expected_lfg;
 | |
| 	expected_lfg.push_back(actual);
 | |
| 	boost::shared_ptr<FactorGraph<GaussianFactor> > actual_lfg = graph.linearize(config, ordering);
 | |
| 	CHECK(assert_equal(expected_lfg,*actual_lfg));
 | |
| 
 | |
| 	// expmap on a config
 | |
| 	Values expected_config;
 | |
|   Point3 t2(1,1,-5); Pose3 x2(R,t2); expected_config.insert(X(1), x2);
 | |
|   Point3 l2(1,2,3); expected_config.insert(L(1), l2);
 | |
| 	VectorValues delta(expected_config.dims(ordering));
 | |
| 	delta[ordering[X(1)]] = Vector_(6, 0.,0.,0., 1.,1.,1.);
 | |
| 	delta[ordering[L(1)]] = Vector_(3, 1.,2.,3.);
 | |
| 	Values actual_config = config.retract(delta, ordering);
 | |
| 	CHECK(assert_equal(expected_config,actual_config,1e-9));
 | |
| }
 | |
| 
 | |
| /* ************************************************************************* */
 | |
| TEST( ProjectionFactor, equals )
 | |
| {
 | |
| 	// Create two identical factors and make sure they're equal
 | |
| 	Vector z = Vector_(2,323.,240.);
 | |
| 	int i=1, j=1;
 | |
| 	boost::shared_ptr<MyProjectionFactor>
 | |
| 	  factor1(new MyProjectionFactor(z, sigma, X(i), L(j), sK));
 | |
| 
 | |
| 	boost::shared_ptr<MyProjectionFactor>
 | |
| 		factor2(new MyProjectionFactor(z, sigma, X(i), L(j), sK));
 | |
| 
 | |
| 	CHECK(assert_equal(*factor1, *factor2));
 | |
| }
 | |
| 
 | |
| /* ************************************************************************* */
 | |
| int main() { TestResult tr; return TestRegistry::runAllTests(tr); }
 | |
| /* ************************************************************************* */
 | |
| 
 |