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| // This file is part of libigl, a simple c++ geometry processing library. | |
| // | |
| // Copyright (C) 2015 Daniele Panozzo <daniele.panozzo@gmail.com> | |
| // | |
| // This Source Code Form is subject to the terms of the Mozilla Public License | |
| // v. 2.0. If a copy of the MPL was not distributed with this file, You can | |
| // obtain one at http://mozilla.org/MPL/2.0/. | |
| namespace igl | |
| { | |
| namespace copyleft | |
| { | |
| namespace comiso | |
| { | |
| class FrameInterpolator | |
| { | |
| public: | |
| // Init | |
| IGL_INLINE FrameInterpolator(const Eigen::MatrixXd& _V, const Eigen::MatrixXi& _F); | |
| IGL_INLINE ~FrameInterpolator(); | |
| // Reset constraints (at least one constraint must be present or solve will fail) | |
| IGL_INLINE void resetConstraints(); | |
| IGL_INLINE void setConstraint(const int fid, const Eigen::VectorXd& v); | |
| IGL_INLINE void interpolateSymmetric(); | |
| // Generate the frame field | |
| IGL_INLINE void solve(); | |
| // Convert the frame field in the canonical representation | |
| IGL_INLINE void frame2canonical(const Eigen::MatrixXd& TP, const Eigen::RowVectorXd& v, double& theta, Eigen::VectorXd& S); | |
| // Convert the canonical representation in a frame field | |
| IGL_INLINE void canonical2frame(const Eigen::MatrixXd& TP, const double theta, const Eigen::VectorXd& S, Eigen::RowVectorXd& v); | |
| IGL_INLINE Eigen::MatrixXd getFieldPerFace(); | |
| IGL_INLINE void PolarDecomposition(Eigen::MatrixXd V, Eigen::MatrixXd& U, Eigen::MatrixXd& P); | |
| // Symmetric | |
| Eigen::MatrixXd S; | |
| std::vector<bool> S_c; | |
| // ------------------------------------------------- | |
| // Face Topology | |
| Eigen::MatrixXi TT, TTi; | |
| // Two faces are consistent if their representative vector are taken modulo PI | |
| std::vector<bool> edge_consistency; | |
| Eigen::MatrixXi edge_consistency_TT; | |
| private: | |
| IGL_INLINE double mod2pi(double d); | |
| IGL_INLINE double modpi2(double d); | |
| IGL_INLINE double modpi(double d); | |
| // Convert a direction on the tangent space into an angle | |
| IGL_INLINE double vector2theta(const Eigen::MatrixXd& TP, const Eigen::RowVectorXd& v); | |
| // Convert an angle in a vector in the tangent space | |
| IGL_INLINE Eigen::RowVectorXd theta2vector(const Eigen::MatrixXd& TP, const double theta); | |
| // Interpolate the cross field (theta) | |
| IGL_INLINE void interpolateCross(); | |
| // Compute difference between reference frames | |
| IGL_INLINE void computek(); | |
| // Compute edge consistency | |
| IGL_INLINE void compute_edge_consistency(); | |
| // Cross field direction | |
| Eigen::VectorXd thetas; | |
| std::vector<bool> thetas_c; | |
| // Edge Topology | |
| Eigen::MatrixXi EV, FE, EF; | |
| std::vector<bool> isBorderEdge; | |
| // Angle between two reference frames | |
| // R(k) * t0 = t1 | |
| Eigen::VectorXd k; | |
| // Mesh | |
| Eigen::MatrixXd V; | |
| Eigen::MatrixXi F; | |
| // Normals per face | |
| Eigen::MatrixXd N; | |
| // Reference frame per triangle | |
| std::vector<Eigen::MatrixXd> TPs; | |
| }; | |
| FrameInterpolator::FrameInterpolator(const Eigen::MatrixXd& _V, const Eigen::MatrixXi& _F) | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| V = _V; | |
| F = _F; | |
| assert(V.rows() > 0); | |
| assert(F.rows() > 0); | |
| // Generate topological relations | |
| igl::triangle_triangle_adjacency(F,TT,TTi); | |
| igl::edge_topology(V,F, EV, FE, EF); | |
| // Flag border edges | |
| isBorderEdge.resize(EV.rows()); | |
| for(unsigned i=0; i<EV.rows(); ++i) | |
| isBorderEdge[i] = (EF(i,0) == -1) || ((EF(i,1) == -1)); | |
| // Generate normals per face | |
| igl::per_face_normals(V, F, N); | |
| // Generate reference frames | |
| for(unsigned fid=0; fid<F.rows(); ++fid) | |
| { | |
| // First edge | |
| Vector3d e1 = V.row(F(fid,1)) - V.row(F(fid,0)); | |
| e1.normalize(); | |
| Vector3d e2 = N.row(fid); | |
| e2 = e2.cross(e1); | |
| e2.normalize(); | |
| MatrixXd TP(2,3); | |
| TP << e1.transpose(), e2.transpose(); | |
| TPs.push_back(TP); | |
| } | |
| // Reset the constraints | |
| resetConstraints(); | |
| // Compute k, differences between reference frames | |
| computek(); | |
| // Alloc internal variables | |
| thetas = VectorXd::Zero(F.rows()); | |
| S = MatrixXd::Zero(F.rows(),3); | |
| compute_edge_consistency(); | |
| } | |
| FrameInterpolator::~FrameInterpolator() | |
| { | |
| } | |
| double FrameInterpolator::mod2pi(double d) | |
| { | |
| while(d<0) | |
| d = d + (2.0*igl::PI); | |
| return fmod(d, (2.0*igl::PI)); | |
| } | |
| double FrameInterpolator::modpi2(double d) | |
| { | |
| while(d<0) | |
| d = d + (igl::PI/2.0); | |
| return fmod(d, (igl::PI/2.0)); | |
| } | |
| double FrameInterpolator::modpi(double d) | |
| { | |
| while(d<0) | |
| d = d + (igl::PI); | |
| return fmod(d, (igl::PI)); | |
| } | |
| double FrameInterpolator::vector2theta(const Eigen::MatrixXd& TP, const Eigen::RowVectorXd& v) | |
| { | |
| // Project onto the tangent plane | |
| Eigen::Vector2d vp = TP * v.transpose(); | |
| // Convert to angle | |
| double theta = atan2(vp(1),vp(0)); | |
| return theta; | |
| } | |
| Eigen::RowVectorXd FrameInterpolator::theta2vector(const Eigen::MatrixXd& TP, const double theta) | |
| { | |
| Eigen::Vector2d vp(cos(theta),sin(theta)); | |
| return vp.transpose() * TP; | |
| } | |
| void FrameInterpolator::interpolateCross() | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| //olga: was | |
| // NRosyField nrosy(V,F); | |
| // for (unsigned i=0; i<F.rows(); ++i) | |
| // if(thetas_c[i]) | |
| // nrosy.setConstraintHard(i,theta2vector(TPs[i],thetas(i))); | |
| // nrosy.solve(4); | |
| // MatrixXd R = nrosy.getFieldPerFace(); | |
| //olga: is | |
| Eigen::MatrixXd R; | |
| Eigen::VectorXd S; | |
| Eigen::VectorXi b; b.resize(F.rows(),1); | |
| Eigen::MatrixXd bc; bc.resize(F.rows(),3); | |
| int num = 0; | |
| for (unsigned i=0; i<F.rows(); ++i) | |
| if(thetas_c[i]) | |
| { | |
| b[num] = i; | |
| bc.row(num) = theta2vector(TPs[i],thetas(i)); | |
| num++; | |
| } | |
| b.conservativeResize(num,Eigen::NoChange); | |
| bc.conservativeResize(num,Eigen::NoChange); | |
| igl::copyleft::comiso::nrosy(V, F, b, bc, 4, R, S); | |
| //olga:end | |
| assert(R.rows() == F.rows()); | |
| for (unsigned i=0; i<F.rows(); ++i) | |
| thetas(i) = vector2theta(TPs[i],R.row(i)); | |
| } | |
| void FrameInterpolator::resetConstraints() | |
| { | |
| thetas_c.resize(F.rows()); | |
| S_c.resize(F.rows()); | |
| for(unsigned i=0; i<F.rows(); ++i) | |
| { | |
| thetas_c[i] = false; | |
| S_c[i] = false; | |
| } | |
| } | |
| void FrameInterpolator::compute_edge_consistency() | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| // Compute per-edge consistency | |
| edge_consistency.resize(EF.rows()); | |
| edge_consistency_TT = MatrixXi::Constant(TT.rows(),3,-1); | |
| // For every non-border edge | |
| for (unsigned eid=0; eid<EF.rows(); ++eid) | |
| { | |
| if (!isBorderEdge[eid]) | |
| { | |
| int fid0 = EF(eid,0); | |
| int fid1 = EF(eid,1); | |
| double theta0 = thetas(fid0); | |
| double theta1 = thetas(fid1); | |
| theta0 = theta0 + k(eid); | |
| double r = modpi(theta0-theta1); | |
| edge_consistency[eid] = r < igl::PI/4.0 || r > 3*(igl::PI/4.0); | |
| // Copy it into edge_consistency_TT | |
| int i1 = -1; | |
| int i2 = -1; | |
| for (unsigned i=0; i<3; ++i) | |
| { | |
| if (TT(fid0,i) == fid1) | |
| i1 = i; | |
| if (TT(fid1,i) == fid0) | |
| i2 = i; | |
| } | |
| assert(i1 != -1); | |
| assert(i2 != -1); | |
| edge_consistency_TT(fid0,i1) = edge_consistency[eid]; | |
| edge_consistency_TT(fid1,i2) = edge_consistency[eid]; | |
| } | |
| } | |
| } | |
| void FrameInterpolator::computek() | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| k.resize(EF.rows()); | |
| // For every non-border edge | |
| for (unsigned eid=0; eid<EF.rows(); ++eid) | |
| { | |
| if (!isBorderEdge[eid]) | |
| { | |
| int fid0 = EF(eid,0); | |
| int fid1 = EF(eid,1); | |
| Vector3d N0 = N.row(fid0); | |
| //Vector3d N1 = N.row(fid1); | |
| // find common edge on triangle 0 and 1 | |
| int fid0_vc = -1; | |
| int fid1_vc = -1; | |
| for (unsigned i=0;i<3;++i) | |
| { | |
| if (EV(eid,0) == F(fid0,i)) | |
| fid0_vc = i; | |
| if (EV(eid,1) == F(fid1,i)) | |
| fid1_vc = i; | |
| } | |
| assert(fid0_vc != -1); | |
| assert(fid1_vc != -1); | |
| Vector3d common_edge = V.row(F(fid0,(fid0_vc+1)%3)) - V.row(F(fid0,fid0_vc)); | |
| common_edge.normalize(); | |
| // Map the two triangles in a new space where the common edge is the x axis and the N0 the z axis | |
| MatrixXd P(3,3); | |
| VectorXd o = V.row(F(fid0,fid0_vc)); | |
| VectorXd tmp = -N0.cross(common_edge); | |
| P << common_edge, tmp, N0; | |
| P.transposeInPlace(); | |
| MatrixXd V0(3,3); | |
| V0.row(0) = V.row(F(fid0,0)).transpose() -o; | |
| V0.row(1) = V.row(F(fid0,1)).transpose() -o; | |
| V0.row(2) = V.row(F(fid0,2)).transpose() -o; | |
| V0 = (P*V0.transpose()).transpose(); | |
| assert(V0(0,2) < 10e-10); | |
| assert(V0(1,2) < 10e-10); | |
| assert(V0(2,2) < 10e-10); | |
| MatrixXd V1(3,3); | |
| V1.row(0) = V.row(F(fid1,0)).transpose() -o; | |
| V1.row(1) = V.row(F(fid1,1)).transpose() -o; | |
| V1.row(2) = V.row(F(fid1,2)).transpose() -o; | |
| V1 = (P*V1.transpose()).transpose(); | |
| assert(V1(fid1_vc,2) < 10e-10); | |
| assert(V1((fid1_vc+1)%3,2) < 10e-10); | |
| // compute rotation R such that R * N1 = N0 | |
| // i.e. map both triangles to the same plane | |
| double alpha = -atan2(V1((fid1_vc+2)%3,2),V1((fid1_vc+2)%3,1)); | |
| MatrixXd R(3,3); | |
| R << 1, 0, 0, | |
| 0, cos(alpha), -sin(alpha) , | |
| 0, sin(alpha), cos(alpha); | |
| V1 = (R*V1.transpose()).transpose(); | |
| assert(V1(0,2) < 10e-10); | |
| assert(V1(1,2) < 10e-10); | |
| assert(V1(2,2) < 10e-10); | |
| // measure the angle between the reference frames | |
| // k_ij is the angle between the triangle on the left and the one on the right | |
| VectorXd ref0 = V0.row(1) - V0.row(0); | |
| VectorXd ref1 = V1.row(1) - V1.row(0); | |
| ref0.normalize(); | |
| ref1.normalize(); | |
| double ktemp = atan2(ref1(1),ref1(0)) - atan2(ref0(1),ref0(0)); | |
| // just to be sure, rotate ref0 using angle ktemp... | |
| MatrixXd R2(2,2); | |
| R2 << cos(ktemp), -sin(ktemp), sin(ktemp), cos(ktemp); | |
| tmp = R2*ref0.head<2>(); | |
| assert(tmp(0) - ref1(0) < (0.000001)); | |
| assert(tmp(1) - ref1(1) < (0.000001)); | |
| k[eid] = ktemp; | |
| } | |
| } | |
| } | |
| void FrameInterpolator::frame2canonical(const Eigen::MatrixXd& TP, const Eigen::RowVectorXd& v, double& theta, Eigen::VectorXd& S_v) | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| RowVectorXd v0 = v.segment<3>(0); | |
| RowVectorXd v1 = v.segment<3>(3); | |
| // Project onto the tangent plane | |
| Vector2d vp0 = TP * v0.transpose(); | |
| Vector2d vp1 = TP * v1.transpose(); | |
| // Assemble matrix | |
| MatrixXd M(2,2); | |
| M << vp0, vp1; | |
| if (M.determinant() < 0) | |
| M.col(1) = -M.col(1); | |
| assert(M.determinant() > 0); | |
| // cerr << "M: " << M << endl; | |
| MatrixXd R,S; | |
| PolarDecomposition(M,R,S); | |
| // Finally, express the cross field as an angle | |
| theta = atan2(R(1,0),R(0,0)); | |
| MatrixXd R2(2,2); | |
| R2 << cos(theta), -sin(theta), sin(theta), cos(theta); | |
| assert((R2-R).norm() < 10e-8); | |
| // Convert into rotation invariant form | |
| S = R * S * R.inverse(); | |
| // Copy in vector form | |
| S_v = VectorXd(3); | |
| S_v << S(0,0), S(0,1), S(1,1); | |
| } | |
| void FrameInterpolator::canonical2frame(const Eigen::MatrixXd& TP, const double theta, const Eigen::VectorXd& S_v, Eigen::RowVectorXd& v) | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| assert(S_v.size() == 3); | |
| MatrixXd S_temp(2,2); | |
| S_temp << S_v(0), S_v(1), S_v(1), S_v(2); | |
| // Convert angle in vector in the tangent plane | |
| // Vector2d vp(cos(theta),sin(theta)); | |
| // First reconstruct R | |
| MatrixXd R(2,2); | |
| R << cos(theta), -sin(theta), sin(theta), cos(theta); | |
| // Rotation invariant reconstruction | |
| MatrixXd M = S_temp * R; | |
| Vector2d vp0(M(0,0),M(1,0)); | |
| Vector2d vp1(M(0,1),M(1,1)); | |
| // Unproject the vectors | |
| RowVectorXd v0 = vp0.transpose() * TP; | |
| RowVectorXd v1 = vp1.transpose() * TP; | |
| v.resize(6); | |
| v << v0, v1; | |
| } | |
| void FrameInterpolator::solve() | |
| { | |
| interpolateCross(); | |
| interpolateSymmetric(); | |
| } | |
| void FrameInterpolator::interpolateSymmetric() | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| // Generate uniform Laplacian matrix | |
| typedef Eigen::Triplet<double> triplet; | |
| std::vector<triplet> triplets; | |
| // Variables are stacked as x1,y1,z1,x2,y2,z2 | |
| triplets.reserve(3*4*F.rows()); | |
| MatrixXd b = MatrixXd::Zero(3*F.rows(),1); | |
| // Build L and b | |
| for (unsigned eid=0; eid<EF.rows(); ++eid) | |
| { | |
| if (!isBorderEdge[eid]) | |
| { | |
| for (int z=0;z<2;++z) | |
| { | |
| // W = [w_a, w_b | |
| // w_b, w_c] | |
| // | |
| // It is not symmetric | |
| int i = EF(eid,z==0?0:1); | |
| int j = EF(eid,z==0?1:0); | |
| int w_a_0 = (i*3)+0; | |
| int w_b_0 = (i*3)+1; | |
| int w_c_0 = (i*3)+2; | |
| int w_a_1 = (j*3)+0; | |
| int w_b_1 = (j*3)+1; | |
| int w_c_1 = (j*3)+2; | |
| // Rotation to change frame | |
| double r_a = cos(z==1?k(eid):-k(eid)); | |
| double r_b = -sin(z==1?k(eid):-k(eid)); | |
| double r_c = sin(z==1?k(eid):-k(eid)); | |
| double r_d = cos(z==1?k(eid):-k(eid)); | |
| // First term | |
| // w_a_0 = r_a^2 w_a_1 + 2 r_a r_b w_b_1 + r_b^2 w_c_1 = 0 | |
| triplets.push_back(triplet(w_a_0,w_a_0, -1 )); | |
| triplets.push_back(triplet(w_a_0,w_a_1, r_a*r_a )); | |
| triplets.push_back(triplet(w_a_0,w_b_1, 2 * r_a*r_b )); | |
| triplets.push_back(triplet(w_a_0,w_c_1, r_b*r_b )); | |
| // Second term | |
| // w_b_0 = r_a r_c w_a + (r_b r_c + r_a r_d) w_b + r_b r_d w_c | |
| triplets.push_back(triplet(w_b_0,w_b_0, -1 )); | |
| triplets.push_back(triplet(w_b_0,w_a_1, r_a*r_c )); | |
| triplets.push_back(triplet(w_b_0,w_b_1, r_b*r_c + r_a*r_d )); | |
| triplets.push_back(triplet(w_b_0,w_c_1, r_b*r_d )); | |
| // Third term | |
| // w_c_0 = r_c^2 w_a + 2 r_c r_d w_b + r_d^2 w_c | |
| triplets.push_back(triplet(w_c_0,w_c_0, -1 )); | |
| triplets.push_back(triplet(w_c_0,w_a_1, r_c*r_c )); | |
| triplets.push_back(triplet(w_c_0,w_b_1, 2 * r_c*r_d )); | |
| triplets.push_back(triplet(w_c_0,w_c_1, r_d*r_d )); | |
| } | |
| } | |
| } | |
| SparseMatrix<double> L(3*F.rows(),3*F.rows()); | |
| L.setFromTriplets(triplets.begin(), triplets.end()); | |
| triplets.clear(); | |
| // Add soft constraints | |
| double w = 100000; | |
| for (unsigned fid=0; fid < F.rows(); ++fid) | |
| { | |
| if (S_c[fid]) | |
| { | |
| for (unsigned i=0;i<3;++i) | |
| { | |
| triplets.push_back(triplet(3*fid + i,3*fid + i,w)); | |
| b(3*fid + i) += w*S(fid,i); | |
| } | |
| } | |
| } | |
| SparseMatrix<double> soft(3*F.rows(),3*F.rows()); | |
| soft.setFromTriplets(triplets.begin(), triplets.end()); | |
| SparseMatrix<double> M; | |
| M = L + soft; | |
| // Solve Lx = b; | |
| SparseLU<SparseMatrix<double> > solver; | |
| solver.compute(M); | |
| if(solver.info()!=Success) | |
| { | |
| std::cerr << "LU failed - frame_interpolator.cpp" << std::endl; | |
| assert(0); | |
| } | |
| MatrixXd x; | |
| x = solver.solve(b); | |
| if(solver.info()!=Success) | |
| { | |
| std::cerr << "Linear solve failed - frame_interpolator.cpp" << std::endl; | |
| assert(0); | |
| } | |
| S = MatrixXd::Zero(F.rows(),3); | |
| // Copy back the result | |
| for (unsigned i=0;i<F.rows();++i) | |
| S.row(i) << x(i*3+0), x(i*3+1), x(i*3+2); | |
| } | |
| void FrameInterpolator::setConstraint(const int fid, const Eigen::VectorXd& v) | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| double t_; | |
| VectorXd S_; | |
| frame2canonical(TPs[fid],v,t_,S_); | |
| Eigen::RowVectorXd v2; | |
| canonical2frame(TPs[fid], t_, S_, v2); | |
| thetas(fid) = t_; | |
| thetas_c[fid] = true; | |
| S.row(fid) = S_; | |
| S_c[fid] = true; | |
| } | |
| Eigen::MatrixXd FrameInterpolator::getFieldPerFace() | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| MatrixXd R(F.rows(),6); | |
| for (unsigned i=0; i<F.rows(); ++i) | |
| { | |
| RowVectorXd v; | |
| canonical2frame(TPs[i],thetas(i),S.row(i),v); | |
| R.row(i) = v; | |
| } | |
| return R; | |
| } | |
| void FrameInterpolator::PolarDecomposition(Eigen::MatrixXd V, Eigen::MatrixXd& U, Eigen::MatrixXd& P) | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| // Polar Decomposition | |
| JacobiSVD<MatrixXd> svd(V,Eigen::ComputeFullU | Eigen::ComputeFullV); | |
| U = svd.matrixU() * svd.matrixV().transpose(); | |
| P = svd.matrixV() * svd.singularValues().asDiagonal() * svd.matrixV().transpose(); | |
| } | |
| } | |
| } | |
| } | |
| IGL_INLINE void igl::copyleft::comiso::frame_field( | |
| const Eigen::MatrixXd& V, | |
| const Eigen::MatrixXi& F, | |
| const Eigen::VectorXi& b, | |
| const Eigen::MatrixXd& bc1, | |
| const Eigen::MatrixXd& bc2, | |
| Eigen::MatrixXd& FF1, | |
| Eigen::MatrixXd& FF2 | |
| ) | |
| { | |
| using namespace std; | |
| using namespace Eigen; | |
| assert(b.size() > 0); | |
| // Init Solver | |
| FrameInterpolator field(V,F); | |
| for (unsigned i=0; i<b.size(); ++i) | |
| { | |
| VectorXd t(6); t << bc1.row(i).transpose(), bc2.row(i).transpose(); | |
| field.setConstraint(b(i), t); | |
| } | |
| // Solve | |
| field.solve(); | |
| // Copy back | |
| MatrixXd R = field.getFieldPerFace(); | |
| FF1 = R.block(0, 0, R.rows(), 3); | |
| FF2 = R.block(0, 3, R.rows(), 3); | |
| } | |