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@ -194,13 +194,40 @@ Similarity2 Similarity2::Align(const Pose2Pairs& abPosePairs) {
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return internal::AlignGivenR(abPointPairs, aRb_estimate);
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}
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Matrix2 Similarity2::GetV(double theta, double lambda) {
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// Derivation from https://ethaneade.com/lie_groups.pdf page 6
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const double lambda2 = lambda * lambda, theta2 = theta * theta;
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double A, B, C;
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if (theta2 > 1e-9) {
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A = sin(theta) / theta;
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B = (1 - cos(theta)) / theta2;
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C = (1 - A) / theta2;
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} else {
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// Taylor series expansion for theta=0
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A = 1.0;
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B = 0.5 - theta2 / 24.0;
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C = 1.0 / 6.0 - theta2 / 120.0;
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}
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double alpha = 1.0 / (1.0 + theta2 / lambda2);
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const double s = exp(lambda);
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double s_inv = 1.0 / s;
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double X = alpha * (1 - s_inv) / lambda + (1 - alpha) * (A - lambda * B);
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double Y =
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alpha * (s_inv - 1 + lambda) / lambda2 + (1 - alpha) * (B - lambda * C);
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Matrix2 V;
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V << X, -theta * Y, theta * Y, X;
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return V;
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}
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Vector4 Similarity2::Logmap(const Similarity2& S, //
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OptionalJacobian<4, 4> Hm) {
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const Vector2 u = S.t_;
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const Vector1 w = Rot2::Logmap(S.R_);
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const double s = log(S.s_);
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const double lambda = log(S.s_);
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// In Expmap, t = V * u -> in Logmap, u = V^{-1} * t
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Vector4 result;
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result << u, w, s;
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result << GetV(w[0], lambda).inverse() * S.t_, w, lambda;
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if (Hm) {
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throw std::runtime_error("Similarity2::Logmap: derivative not implemented");
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}
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@ -209,13 +236,14 @@ Vector4 Similarity2::Logmap(const Similarity2& S, //
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Similarity2 Similarity2::Expmap(const Vector4& v, //
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OptionalJacobian<4, 4> Hm) {
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const Vector2 t = v.head<2>();
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const Rot2 R = Rot2::Expmap(v.segment<1>(2));
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const double s = v[3];
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const Vector2 u = v.head<2>();
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const double theta = v[2];
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const double lambda = v[3];
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if (Hm) {
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throw std::runtime_error("Similarity2::Expmap: derivative not implemented");
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}
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return Similarity2(R, t, s);
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const Matrix2 V = GetV(theta, lambda);
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return Similarity2(Rot2::Expmap(v.segment<1>(2)), V * u, exp(lambda));
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}
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Matrix4 Similarity2::AdjointMap() const {
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@ -141,6 +141,9 @@ class GTSAM_EXPORT Similarity2 : public LieGroup<Similarity2, 4> {
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using LieAlgebra = Matrix3;
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/// Calculate expmap and logmap coefficients.
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static Matrix2 GetV(double theta, double lambda);
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/**
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* Log map at the identity
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* \f$ [t_x, t_y, \delta, \lambda] \f$
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@ -79,7 +79,7 @@ TEST(Similarity2, HatAndVee) {
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/* ************************************************************************* */
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// Checks correct exponential map (Expmap) with brute force matrix exponential
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TEST_DISABLED(Similarity2, BruteForceExpmap) {
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TEST(Similarity2, BruteForceExpmap) {
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const Vector4 xi(0.1, 0.2, 0.3, 0.4);
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EXPECT(assert_equal(Similarity2::Expmap(xi), expm<Similarity2>(xi), 1e-4));
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}
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