fix TriangulationFactor bug (for stereo camera), and add new unit tests and comparisons

release/4.3a0
cbeall3 2015-08-16 18:14:19 -04:00
parent 321a7dbb11
commit d9ae402168
2 changed files with 107 additions and 1 deletions

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@ -18,9 +18,15 @@
#include <gtsam/geometry/triangulation.h>
#include <gtsam/geometry/SimpleCamera.h>
#include <gtsam/geometry/StereoCamera.h>
#include <gtsam/geometry/CameraSet.h>
#include <gtsam/geometry/Cal3Bundler.h>
#include <gtsam/slam/StereoFactor.h>
#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
#include <gtsam/nonlinear/ExpressionFactor.h>
#include <CppUnitLite/TestHarness.h>
#include <boost/assign.hpp>
#include <boost/assign/std/vector.hpp>
@ -273,6 +279,106 @@ TEST( triangulation, onePose) {
TriangulationUnderconstrainedException);
}
//******************************************************************************
TEST( triangulation, StereotriangulateNonlinear ) {
Cal3_S2Stereo::shared_ptr stereoK(new Cal3_S2Stereo(1733.75, 1733.75, 0, 689.645, 508.835, 0.0699612));
// two camera poses m1, m2
Matrix4 m1, m2;
m1 << 0.796888717, 0.603404026, -0.0295271487, 46.6673779,
0.592783835, -0.77156583, 0.230856632, 66.2186159,
0.116517574, -0.201470143, -0.9725393, -4.28382528,
0, 0, 0, 1;
m2 << -0.955959025, -0.29288915, -0.0189328569, 45.7169799,
-0.29277519, 0.947083213, 0.131587097, 65.843136,
-0.0206094928, 0.131334858, -0.991123524, -4.3525033,
0, 0, 0, 1;
typedef CameraSet<StereoCamera> Cameras;
Cameras cameras;
cameras.push_back(StereoCamera(Pose3(m1), stereoK));
cameras.push_back(StereoCamera(Pose3(m2), stereoK));
vector<StereoPoint2> measurements;
measurements += StereoPoint2(226.936, 175.212, 424.469);
measurements += StereoPoint2(339.571, 285.547, 669.973);
Point3 initial = Point3(46.0536958, 66.4621179, -6.56285929); // error: 96.5715555191
Point3 actual = triangulateNonlinear(cameras, measurements, initial);
Point3 expected(46.0484569, 66.4710686, -6.55046613); // error: 0.763510644187
EXPECT(assert_equal(expected, actual, 1e-4));
// regular stereo factor comparison - expect very similar result as above
{
typedef GenericStereoFactor<Pose3,Point3> StereoFactor;
Values values;
values.insert(Symbol('x', 1), Pose3(m1));
values.insert(Symbol('x', 2), Pose3(m2));
values.insert(Symbol('l', 1), initial);
NonlinearFactorGraph graph;
static SharedNoiseModel unit(noiseModel::Unit::Create(3));
graph.push_back(StereoFactor::shared_ptr(new StereoFactor(measurements[0], unit, Symbol('x',1), Symbol('l',1), stereoK)));
graph.push_back(StereoFactor::shared_ptr(new StereoFactor(measurements[1], unit, Symbol('x',2), Symbol('l',1), stereoK)));
const SharedDiagonal posePrior = noiseModel::Isotropic::Sigma(6, 1e-9);
graph.push_back(PriorFactor<Pose3>(Symbol('x',1), Pose3(m1), posePrior));
graph.push_back(PriorFactor<Pose3>(Symbol('x',2), Pose3(m2), posePrior));
LevenbergMarquardtOptimizer optimizer(graph, values);
Values result = optimizer.optimize();
EXPECT(assert_equal(expected, result.at<Point3>(Symbol('l',1)), 1e-4));
}
// use Triangulation Factor directly - expect same result as above
{
Values values;
values.insert(Symbol('l', 1), initial);
NonlinearFactorGraph graph;
static SharedNoiseModel unit(noiseModel::Unit::Create(3));
graph.push_back(TriangulationFactor<StereoCamera>(cameras[0], measurements[0], unit, Symbol('l',1)));
graph.push_back(TriangulationFactor<StereoCamera>(cameras[1], measurements[1], unit, Symbol('l',1)));
LevenbergMarquardtOptimizer optimizer(graph, values);
Values result = optimizer.optimize();
EXPECT(assert_equal(expected, result.at<Point3>(Symbol('l',1)), 1e-4));
}
// use ExpressionFactor - expect same result as above
{
Values values;
values.insert(Symbol('l', 1), initial);
NonlinearFactorGraph graph;
static SharedNoiseModel unit(noiseModel::Unit::Create(3));
Expression<Point3> point_(Symbol('l',1));
Expression<StereoCamera> camera0_(cameras[0]);
Expression<StereoCamera> camera1_(cameras[1]);
Expression<StereoPoint2> project0_(camera0_, &StereoCamera::project2, point_);
Expression<StereoPoint2> project1_(camera1_, &StereoCamera::project2, point_);
graph.addExpressionFactor(unit, measurements[0], project0_);
graph.addExpressionFactor(unit, measurements[1], project1_);
LevenbergMarquardtOptimizer optimizer(graph, values);
Values result = optimizer.optimize();
EXPECT(assert_equal(expected, result.at<Point3>(Symbol('l',1)), 1e-4));
}
}
//******************************************************************************
int main() {
TestResult tr;

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@ -153,7 +153,7 @@ public:
// Allocate memory for Jacobian factor, do only once
if (Ab.rows() == 0) {
std::vector<size_t> dimensions(1, 3);
Ab = VerticalBlockMatrix(dimensions, 2, true);
Ab = VerticalBlockMatrix(dimensions, Measurement::dimension, true);
A.resize(Measurement::dimension,3);
b.resize(Measurement::dimension);
}