#include "config.hpp" #include "field-math.hpp" #include "parametrizer.hpp" namespace qflow { void Parametrizer::ComputeOrientationSingularities() { MatrixXd &N = hierarchy.mN[0], &Q = hierarchy.mQ[0]; const MatrixXi& F = hierarchy.mF; singularities.clear(); for (int f = 0; f < F.cols(); ++f) { int index = 0; int abs_index = 0; for (int k = 0; k < 3; ++k) { int i = F(k, f), j = F(k == 2 ? 0 : (k + 1), f); auto value = compat_orientation_extrinsic_index_4(Q.col(i), N.col(i), Q.col(j), N.col(j)); index += value.second - value.first; abs_index += std::abs(value.second - value.first); } int index_mod = modulo(index, 4); if (index_mod == 1 || index_mod == 3) { if (index >= 4 || index < 0) { Q.col(F(0, f)) = -Q.col(F(0, f)); } singularities[f] = index_mod; } } } void Parametrizer::ComputePositionSingularities() { const MatrixXd &V = hierarchy.mV[0], &N = hierarchy.mN[0], &Q = hierarchy.mQ[0], &O = hierarchy.mO[0]; const MatrixXi& F = hierarchy.mF; pos_sing.clear(); pos_rank.resize(F.rows(), F.cols()); pos_index.resize(6, F.cols()); for (int f = 0; f < F.cols(); ++f) { Vector2i index = Vector2i::Zero(); uint32_t i0 = F(0, f), i1 = F(1, f), i2 = F(2, f); Vector3d q[3] = {Q.col(i0).normalized(), Q.col(i1).normalized(), Q.col(i2).normalized()}; Vector3d n[3] = {N.col(i0), N.col(i1), N.col(i2)}; Vector3d o[3] = {O.col(i0), O.col(i1), O.col(i2)}; Vector3d v[3] = {V.col(i0), V.col(i1), V.col(i2)}; int best[3]; double best_dp = -std::numeric_limits::infinity(); for (int i = 0; i < 4; ++i) { Vector3d v0 = rotate90_by(q[0], n[0], i); for (int j = 0; j < 4; ++j) { Vector3d v1 = rotate90_by(q[1], n[1], j); for (int k = 0; k < 4; ++k) { Vector3d v2 = rotate90_by(q[2], n[2], k); double dp = std::min(std::min(v0.dot(v1), v1.dot(v2)), v2.dot(v0)); if (dp > best_dp) { best_dp = dp; best[0] = i; best[1] = j; best[2] = k; } } } } pos_rank(0, f) = best[0]; pos_rank(1, f) = best[1]; pos_rank(2, f) = best[2]; for (int k = 0; k < 3; ++k) q[k] = rotate90_by(q[k], n[k], best[k]); for (int k = 0; k < 3; ++k) { int kn = k == 2 ? 0 : (k + 1); double scale_x = hierarchy.mScale, scale_y = hierarchy.mScale, scale_x_1 = hierarchy.mScale, scale_y_1 = hierarchy.mScale; if (flag_adaptive_scale) { scale_x *= hierarchy.mS[0](0, F(k, f)); scale_y *= hierarchy.mS[0](1, F(k, f)); scale_x_1 *= hierarchy.mS[0](0, F(kn, f)); scale_y_1 *= hierarchy.mS[0](1, F(kn, f)); if (best[k] % 2 != 0) std::swap(scale_x, scale_y); if (best[kn] % 2 != 0) std::swap(scale_x_1, scale_y_1); } double inv_scale_x = 1.0 / scale_x, inv_scale_y = 1.0 / scale_y, inv_scale_x_1 = 1.0 / scale_x_1, inv_scale_y_1 = 1.0 / scale_y_1; std::pair value = compat_position_extrinsic_index_4( v[k], n[k], q[k], o[k], v[kn], n[kn], q[kn], o[kn], scale_x, scale_y, inv_scale_x, inv_scale_y, scale_x_1, scale_y_1, inv_scale_x_1, inv_scale_y_1, nullptr); auto diff = value.first - value.second; index += diff; pos_index(k * 2, f) = diff[0]; pos_index(k * 2 + 1, f) = diff[1]; } if (index != Vector2i::Zero()) { pos_sing[f] = rshift90(index, best[0]); } } } void Parametrizer::AnalyzeValence() { auto& F = hierarchy.mF; std::map sing; for (auto& f : singularities) { for (int i = 0; i < 3; ++i) { sing[F(i, f.first)] = f.second; } } auto& F2E = face_edgeIds; auto& E2E = hierarchy.mE2E; auto& FQ = face_edgeOrients; std::set sing1, sing2; for (int i = 0; i < F2E.size(); ++i) { for (int j = 0; j < 3; ++j) { int deid = i * 3 + j; int sum_int = 0; std::vector edges; std::vector angles; do { int deid1 = deid / 3 * 3 + (deid + 2) % 3; deid = E2E[deid1]; sum_int += (FQ[deid / 3][deid % 3] + 6 - FQ[deid1 / 3][deid1 % 3]) % 4; } while (deid != i * 3 + j); if (sum_int % 4 == 2) { printf("OMG! valence = 2\n"); exit(0); } if (sum_int % 4 == 1) sing1.insert(F(j, i)); if (sum_int % 4 == 3) sing2.insert(F(j, i)); } } int count3 = 0, count4 = 0; for (auto& s : singularities) { if (s.second == 1) count3 += 1; else count4 += 1; } printf("singularity: <%d %d> <%d %d>\n", (int)sing1.size(), (int)sing2.size(), count3, count4); } } // namespace qflow