Rotation works, translation and scale incorrect

release/4.3a0
Paul Drews 2015-01-24 22:42:48 -05:00
parent d28ef19b9a
commit a87a3dd987
1 changed files with 29 additions and 22 deletions

View File

@ -91,12 +91,13 @@ public:
return R_ * (s_ * p) + t_; return R_ * (s_ * p) + t_;
} }
Matrix7 adjointMap() const{ Matrix7 AdjointMap() const{
const Matrix3 R = R_.matrix(); const Matrix3 R = R_.matrix();
const Vector3 t = t_.vector(); const Vector3 t = t_.vector();
Matrix3 A = s_ * skewSymmetric(t) * R; Matrix3 A = s_ * skewSymmetric(t) * R;
Matrix7 adj; Matrix7 adj;
adj << s_*R, A, -s_*t, Z_3x3, R, Eigen::Matrix<double, 3, 1>::Zero(), Z_3x3, Z_3x3, 1; adj << s_*R, A, -s_*t, Z_3x3, R, Eigen::Matrix<double, 3, 1>::Zero(), Z_3x3, Z_3x3, 1;
return adj;
} }
/** syntactic sugar for transform_from */ /** syntactic sugar for transform_from */
@ -104,16 +105,18 @@ public:
return transform_from(p); return transform_from(p);
} }
/*Similarity3 inverse() const { Similarity3 inverse() const {
Rot3 Rt = R_.inverse(); Rot3 Rt = R_.inverse();
return Pose3(Rt, Rt * (-t_)); Point3 sRt = R_.inverse() * (s_ * t_);
}*/ return Similarity3(Rt, sRt, 1.0/s_);
}
Similarity3 operator*(const Similarity3& T) const { Similarity3 operator*(const Similarity3& T) const {
return Similarity3(R_ * T.R_, ((1.0/s_)*t_) + R_ * T.t_, s_*T.s_); return Similarity3(R_ * T.R_, ((1.0/s_)*t_) + R_ * T.t_, s_*T.s_);
} }
void print(const std::string& s) const { void print(const std::string& s) const {
std::cout << std::endl;
std::cout << s; std::cout << s;
rotation().print("R:\n"); rotation().print("R:\n");
translation().print("t: "); translation().print("t: ");
@ -149,26 +152,31 @@ public:
} }
/// Update Similarity transform via 7-dim vector in tangent space /// Update Similarity transform via 7-dim vector in tangent space
/* Similarity3 retract(const Vector7& v) const { struct ChartAtOrigin {
static Similarity3 Retract(const Vector7& v, ChartJacobian H = boost::none) {
// Will retracting or localCoordinating R work if R is not a unit rotation? // Will retracting or localCoordinating R work if R is not a unit rotation?
// Also, how do we actually get s out? Seems like we need to store it somewhere. // Also, how do we actually get s out? Seems like we need to store it somewhere.
Rot3 r; //Create a zero rotation to do our retraction.
return Similarity3( // return Similarity3( //
R_.retract(v.head<3>()), // retract rotation using v[0,1,2] r.retract(v.head<3>()), // retract rotation using v[0,1,2]
t_.retract(R() * v.segment<3>(3)), // Retract the translation Point3(v.segment<3>(3)), // Retract the translation
scale() + v[6]); //finally, update scale using v[6] v[6]); //finally, update scale using v[6]
} }
/// 7-dimensional vector v in tangent space that makes other = this->retract(v) /// 7-dimensional vector v in tangent space that makes other = this->retract(v)
Vector7 localCoordinates(const Similarity3& other) const { static Vector7 Local(const Similarity3& other, ChartJacobian H = boost::none) {
Rot3 r; //Create a zero rotation to do the retraction
Vector7 v; Vector7 v;
v.head<3>() = R_.localCoordinates(other.R_); v.head<3>() = r.localCoordinates(other.R_);
v.segment<3>(3) = R_.unrotate(other.t_ - t_).vector(); v.segment<3>(3) = other.t_.vector();
//v.segment<3>(3) = translation().localCoordinates(other.translation()); //v.segment<3>(3) = translation().localCoordinates(other.translation());
v[6] = other.s_ - s_; v[6] = other.s_;
return v; return v;
}*/ }
};
using LieGroup<Similarity3, 7>::inverse; // version with derivative
/// @} /// @}
@ -200,7 +208,7 @@ struct traits<Similarity3> : public internal::LieGroupTraits<Similarity3> {};
using namespace gtsam; using namespace gtsam;
using namespace std; using namespace std;
//GTSAM_CONCEPT_POSE_INST(Similarity3); GTSAM_CONCEPT_TESTABLE_INST(Similarity3)
static Point3 P(0.2,0.7,-2); static Point3 P(0.2,0.7,-2);
static Rot3 R = Rot3::rodriguez(0.3,0,0); static Rot3 R = Rot3::rodriguez(0.3,0,0);
@ -299,24 +307,23 @@ TEST(Similarity3, manifold_first_order)
TEST(Similarity3, Optimization) { TEST(Similarity3, Optimization) {
Similarity3 prior = Similarity3(Rot3::ypr(0.1, 0.2, 0.3), Point3(1, 2, 3), 4); Similarity3 prior = Similarity3(Rot3::ypr(0.1, 0.2, 0.3), Point3(1, 2, 3), 4);
prior.print("goal angle"); prior.print("Goal Transform");
noiseModel::Isotropic::shared_ptr model = noiseModel::Isotropic::Sigma(7, 1); noiseModel::Isotropic::shared_ptr model = noiseModel::Isotropic::Sigma(7, 1);
Symbol key('x',1); Symbol key('x',1);
Symbol key2('x',2);
PriorFactor<Similarity3> factor(key, prior, model); PriorFactor<Similarity3> factor(key, prior, model);
NonlinearFactorGraph graph; NonlinearFactorGraph graph;
graph.push_back(factor); graph.push_back(factor);
graph.print("full graph"); graph.print("Full Graph");
Values initial; Values initial;
initial.insert<Similarity3>(key, Similarity3()); initial.insert<Similarity3>(key, Similarity3());
initial.print("initial estimate"); initial.print("Initial Estimate");
Values result; Values result;
result.insert(key2, LevenbergMarquardtOptimizer(graph, initial).optimize()); result = LevenbergMarquardtOptimizer(graph, initial).optimize();
result.print("final result"); result.print("Optimized Estimate");
EXPECT(assert_equal(prior, result.at<Similarity3>(key2), 1e-2)); EXPECT(assert_equal(prior, result.at<Similarity3>(key)));
} }