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Diffstat (limited to 'extern/ceres/include/ceres/internal/sphere_manifold_functions.h')
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+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2022 Google Inc. All rights reserved.
+// http://ceres-solver.org/
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions are met:
+//
+// * Redistributions of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+// * Redistributions in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+// * Neither the name of Google Inc. nor the names of its contributors may be
+// used to endorse or promote products derived from this software without
+// specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+// POSSIBILITY OF SUCH DAMAGE.
+//
+// Author: vitus@google.com (Mike Vitus)
+// jodebo_beck@gmx.de (Johannes Beck)
+
+#ifndef CERES_PUBLIC_INTERNAL_SPHERE_MANIFOLD_HELPERS_H_
+#define CERES_PUBLIC_INTERNAL_SPHERE_MANIFOLD_HELPERS_H_
+
+#include "ceres/internal/householder_vector.h"
+
+// This module contains functions to compute the SphereManifold plus and minus
+// operator and their Jacobians.
+//
+// As the parameters to these functions are shared between them, they are
+// described here: The following variable names are used:
+// Plus(x, delta) = x + delta = x_plus_delta,
+// Minus(y, x) = y - x = y_minus_x.
+//
+// The remaining ones are v and beta which describe the Householder
+// transformation of x, and norm_delta which is the norm of delta.
+//
+// The types of x, y, x_plus_delta and y_minus_x need to be equivalent to
+// Eigen::Matrix<double, AmbientSpaceDimension, 1> and the type of delta needs
+// to be equivalent to Eigen::Matrix<double, TangentSpaceDimension, 1>.
+//
+// The type of Jacobian plus needs to be equivalent to Eigen::Matrix<double,
+// AmbientSpaceDimension, TangentSpaceDimension, Eigen::RowMajor> and for
+// Jacobian minus Eigen::Matrix<double, TangentSpaceDimension,
+// AmbientSpaceDimension, Eigen::RowMajor>.
+//
+// For all vector / matrix inputs and outputs, template parameters are
+// used in order to allow also Eigen::Ref and Eigen block expressions to
+// be passed to the function.
+
+namespace ceres {
+namespace internal {
+
+template <typename VT, typename XT, typename DeltaT, typename XPlusDeltaT>
+inline void ComputeSphereManifoldPlus(const VT& v,
+ double beta,
+ const XT& x,
+ const DeltaT& delta,
+ double norm_delta,
+ XPlusDeltaT* x_plus_delta) {
+ constexpr int AmbientDim = VT::RowsAtCompileTime;
+
+ // Map the delta from the minimum representation to the over parameterized
+ // homogeneous vector. See B.2 p.25 equation (106) - (107) for more details.
+ const double norm_delta_div_2 = 0.5 * norm_delta;
+ const double sin_delta_by_delta =
+ std::sin(norm_delta_div_2) / norm_delta_div_2;
+
+ Eigen::Matrix<double, AmbientDim, 1> y(v.size());
+ y << 0.5 * sin_delta_by_delta * delta, std::cos(norm_delta_div_2);
+
+ // Apply the delta update to remain on the sphere.
+ *x_plus_delta = x.norm() * ApplyHouseholderVector(y, v, beta);
+}
+
+template <typename VT, typename JacobianT>
+inline void ComputeSphereManifoldPlusJacobian(const VT& x,
+ JacobianT* jacobian) {
+ constexpr int AmbientSpaceDim = VT::RowsAtCompileTime;
+ using AmbientVector = Eigen::Matrix<double, AmbientSpaceDim, 1>;
+ const int ambient_size = x.size();
+ const int tangent_size = x.size() - 1;
+
+ AmbientVector v(ambient_size);
+ double beta;
+
+ // NOTE: The explicit template arguments are needed here because
+ // ComputeHouseholderVector is templated and some versions of MSVC
+ // have trouble deducing the type of v automatically.
+ ComputeHouseholderVector<VT, double, AmbientSpaceDim>(x, &v, &beta);
+
+ // The Jacobian is equal to J = 0.5 * H.leftCols(size_ - 1) where H is the
+ // Householder matrix (H = I - beta * v * v').
+ for (int i = 0; i < tangent_size; ++i) {
+ (*jacobian).col(i) = -0.5 * beta * v(i) * v;
+ (*jacobian)(i, i) += 0.5;
+ }
+ (*jacobian) *= x.norm();
+}
+
+template <typename VT, typename XT, typename YT, typename YMinusXT>
+inline void ComputeSphereManifoldMinus(
+ const VT& v, double beta, const XT& x, const YT& y, YMinusXT* y_minus_x) {
+ constexpr int AmbientSpaceDim = VT::RowsAtCompileTime;
+ constexpr int TangentSpaceDim =
+ AmbientSpaceDim == Eigen::Dynamic ? Eigen::Dynamic : AmbientSpaceDim - 1;
+ using AmbientVector = Eigen::Matrix<double, AmbientSpaceDim, 1>;
+
+ const int tanget_size = v.size() - 1;
+
+ const AmbientVector hy = ApplyHouseholderVector(y, v, beta) / x.norm();
+
+ // Calculate y - x. See B.2 p.25 equation (108).
+ double y_last = hy[tanget_size];
+ double hy_norm = hy.template head<TangentSpaceDim>(tanget_size).norm();
+ if (hy_norm == 0.0) {
+ y_minus_x->setZero();
+ } else {
+ *y_minus_x = 2.0 * std::atan2(hy_norm, y_last) / hy_norm *
+ hy.template head<TangentSpaceDim>(tanget_size);
+ }
+}
+
+template <typename VT, typename JacobianT>
+inline void ComputeSphereManifoldMinusJacobian(const VT& x,
+ JacobianT* jacobian) {
+ constexpr int AmbientSpaceDim = VT::RowsAtCompileTime;
+ using AmbientVector = Eigen::Matrix<double, AmbientSpaceDim, 1>;
+ const int ambient_size = x.size();
+ const int tangent_size = x.size() - 1;
+
+ AmbientVector v(ambient_size);
+ double beta;
+
+ // NOTE: The explicit template arguments are needed here because
+ // ComputeHouseholderVector is templated and some versions of MSVC
+ // have trouble deducing the type of v automatically.
+ ComputeHouseholderVector<VT, double, AmbientSpaceDim>(x, &v, &beta);
+
+ // The Jacobian is equal to J = 2.0 * H.leftCols(size_ - 1) where H is the
+ // Householder matrix (H = I - beta * v * v').
+ for (int i = 0; i < tangent_size; ++i) {
+ (*jacobian).row(i) = -2.0 * beta * v(i) * v;
+ (*jacobian)(i, i) += 2.0;
+ }
+ (*jacobian) /= x.norm();
+}
+
+} // namespace internal
+} // namespace ceres
+
+#endif