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Most factors now work out for sigma=1 and sigma=0.1

release/4.3a0
dellaert 2015-03-02 08:53:07 -08:00
parent 11a6ba412c
commit ca18c13cd2
1 changed files with 47 additions and 39 deletions
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86
gtsam/slam/tests/testSmartProjectionPoseFactor.cpp
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@ -39,7 +39,7 @@ static const bool manageDegeneracy = true;
// Create a noise model for the pixel error
static const double sigma = 0.1;
static SharedNoiseModel model(noiseModel::Isotropic::Sigma(2, sigma));
static SharedIsotropic model(noiseModel::Isotropic::Sigma(2, sigma));
// Convenience for named keys
using symbol_shorthand::X;
@ -299,8 +299,10 @@ TEST( SmartProjectionPoseFactor, Factors ) {
// After eliminating the point, A1 and A2 contain 2-rank information on cameras:
Matrix16 A1, A2;
A1 << -1000, 0, 0, 0, 100, 0;
A2 << 1000, 0, 100, 0, -100, 0;
A1 << -10, 0, 0, 0, 1, 0;
A2 << 10, 0, 1, 0, -1, 0;
A1 *= 10. / sigma;
A2 *= 10. / sigma;
Matrix expectedInformation; // filled below
{
// createHessianFactor
@ -339,21 +341,38 @@ TEST( SmartProjectionPoseFactor, Factors ) {
F2(1, 0) = 100;
F2(1, 2) = 10;
F2(1, 4) = -10;
Matrix43 E;
Matrix E(4, 3);
E.setZero();
E(0, 0) = 100;
E(1, 1) = 100;
E(2, 0) = 100;
E(2, 2) = 10;
E(3, 1) = 100;
const vector<pair<Key, Matrix26> > Fblocks = list_of<pair<Key, Matrix> > //
E(0, 0) = 10;
E(1, 1) = 10;
E(2, 0) = 10;
E(2, 2) = 1;
E(3, 1) = 10;
vector<pair<Key, Matrix26> > Fblocks = list_of<pair<Key, Matrix> > //
(make_pair(x1, F1))(make_pair(x2, F2));
Matrix3 P = (E.transpose() * E).inverse();
Vector4 b;
Vector b(4);
b.setZero();
// createJacobianQFactor
SharedIsotropic n = noiseModel::Isotropic::Sigma(4, sigma);
Matrix3 P = (E.transpose() * E).inverse();
JacobianFactorQ<6, 2> expectedQ(Fblocks, E, P, b, n);
EXPECT(assert_equal(expectedInformation, expectedQ.information(), 1e-8));
boost::shared_ptr<JacobianFactorQ<6, 2> > actualQ =
smartFactor1->createJacobianQFactor(cameras, 0.0);
CHECK(actualQ);
EXPECT(assert_equal(expectedInformation, actualQ->information(), 1e-8));
EXPECT(assert_equal(expectedQ, *actualQ));
// Whiten for RegularImplicitSchurFactor (does not have noise model)
model->WhitenSystem(E, b);
Matrix3 whiteP = (E.transpose() * E).inverse();
BOOST_FOREACH(SmartFactor::KeyMatrix2D& Fblock,Fblocks)
Fblock.second = model->Whiten(Fblock.second);
// createRegularImplicitSchurFactor
RegularImplicitSchurFactor<6> expected(Fblocks, E, P, b);
RegularImplicitSchurFactor<6> expected(Fblocks, E, whiteP, b);
boost::shared_ptr<RegularImplicitSchurFactor<6> > actual =
smartFactor1->createRegularImplicitSchurFactor(cameras, 0.0);
@ -361,17 +380,6 @@ TEST( SmartProjectionPoseFactor, Factors ) {
EXPECT(assert_equal(expectedInformation, expected.information(), 1e-8));
EXPECT(assert_equal(expectedInformation, actual->information(), 1e-8));
EXPECT(assert_equal(expected, *actual));
// createJacobianQFactor
SharedIsotropic n = noiseModel::Isotropic::Sigma(4, sigma);
JacobianFactorQ<6, 2> expectedQ(Fblocks, E, P, b, n);
EXPECT(assert_equal(expectedInformation, expectedQ.information(), 1e-8));
boost::shared_ptr<JacobianFactorQ<6, 2> > actualQ =
smartFactor1->createJacobianQFactor(cameras, 0.0);
CHECK(actual);
EXPECT(assert_equal(expectedInformation, actualQ->information(), 1e-8));
EXPECT(assert_equal(expectedQ, *actualQ));
}
{
@ -983,7 +991,7 @@ TEST( SmartProjectionPoseFactor, 3poses_rotation_only_smart_projection_factor )
values.insert(x1, cam2);
values.insert(x2, cam2);
// initialize third pose with some noise, we expect it to move back to original pose_above
values.insert(x3, Camera(pose_above * noise_pose,sharedK));
values.insert(x3, Camera(pose_above * noise_pose, sharedK));
if (isDebugTest)
values.at<Pose3>(x3).print("Smart: Pose3 before optimization: ");
@ -1077,9 +1085,9 @@ TEST( SmartProjectionPoseFactor, HessianWithRotation ) {
Pose3 poseDrift = Pose3(Rot3::ypr(-M_PI / 2, 0., -M_PI / 2), Point3(0, 0, 0));
Values rotValues;
rotValues.insert(x1, Camera(poseDrift.compose(level_pose),sharedK));
rotValues.insert(x2, Camera(poseDrift.compose(pose_right),sharedK));
rotValues.insert(x3, Camera(poseDrift.compose(pose_above),sharedK));
rotValues.insert(x1, Camera(poseDrift.compose(level_pose), sharedK));
rotValues.insert(x2, Camera(poseDrift.compose(pose_right), sharedK));
rotValues.insert(x3, Camera(poseDrift.compose(pose_above), sharedK));
boost::shared_ptr<GaussianFactor> hessianFactorRot =
smartFactorInstance->linearize(rotValues);
@ -1093,9 +1101,9 @@ TEST( SmartProjectionPoseFactor, HessianWithRotation ) {
Point3(10, -4, 5));
Values tranValues;
tranValues.insert(x1, Camera(poseDrift2.compose(level_pose),sharedK));
tranValues.insert(x2, Camera(poseDrift2.compose(pose_right),sharedK));
tranValues.insert(x3, Camera(poseDrift2.compose(pose_above),sharedK));
tranValues.insert(x1, Camera(poseDrift2.compose(level_pose), sharedK));
tranValues.insert(x2, Camera(poseDrift2.compose(pose_right), sharedK));
tranValues.insert(x3, Camera(poseDrift2.compose(pose_above), sharedK));
boost::shared_ptr<GaussianFactor> hessianFactorRotTran =
smartFactorInstance->linearize(tranValues);
@ -1137,9 +1145,9 @@ TEST( SmartProjectionPoseFactor, HessianWithRotationDegenerate ) {
Pose3 poseDrift = Pose3(Rot3::ypr(-M_PI / 2, 0., -M_PI / 2), Point3(0, 0, 0));
Values rotValues;
rotValues.insert(x1, Camera(poseDrift.compose(level_pose),sharedK2));
rotValues.insert(x2, Camera(poseDrift.compose(pose_right),sharedK2));
rotValues.insert(x3, Camera(poseDrift.compose(pose_above),sharedK2));
rotValues.insert(x1, Camera(poseDrift.compose(level_pose), sharedK2));
rotValues.insert(x2, Camera(poseDrift.compose(pose_right), sharedK2));
rotValues.insert(x3, Camera(poseDrift.compose(pose_above), sharedK2));
boost::shared_ptr<GaussianFactor> hessianFactorRot = smartFactor->linearize(
rotValues);
@ -1155,9 +1163,9 @@ TEST( SmartProjectionPoseFactor, HessianWithRotationDegenerate ) {
Point3(10, -4, 5));
Values tranValues;
tranValues.insert(x1, Camera(poseDrift2.compose(level_pose),sharedK2));
tranValues.insert(x2, Camera(poseDrift2.compose(pose_right),sharedK2));
tranValues.insert(x3, Camera(poseDrift2.compose(pose_above),sharedK2));
tranValues.insert(x1, Camera(poseDrift2.compose(level_pose), sharedK2));
tranValues.insert(x2, Camera(poseDrift2.compose(pose_right), sharedK2));
tranValues.insert(x3, Camera(poseDrift2.compose(pose_above), sharedK2));
boost::shared_ptr<GaussianFactor> hessianFactorRotTran =
smartFactor->linearize(tranValues);
@ -1237,7 +1245,7 @@ TEST( SmartProjectionPoseFactor, Cal3Bundler ) {
values.insert(x1, cam2);
values.insert(x2, cam2);
// initialize third pose with some noise, we expect it to move back to original pose_above
values.insert(x3, Camera(pose_above * noise_pose,sharedBundlerK));
values.insert(x3, Camera(pose_above * noise_pose, sharedBundlerK));
if (isDebugTest)
values.at<Pose3>(x3).print("Smart: Pose3 before optimization: ");
@ -1343,7 +1351,7 @@ TEST( SmartProjectionPoseFactor, Cal3BundlerRotationOnly ) {
values.insert(x1, cam2);
values.insert(x2, cam2);
// initialize third pose with some noise, we expect it to move back to original pose_above
values.insert(x3, Camera(pose_above * noise_pose,sharedBundlerK));
values.insert(x3, Camera(pose_above * noise_pose, sharedBundlerK));
if (isDebugTest)
values.at<Pose3>(x3).print("Smart: Pose3 before optimization: ");