#include "config.hpp" #include "dedge.hpp" #include "field-math.hpp" #include "loader.hpp" #include "merge-vertex.hpp" #include "parametrizer.hpp" #include "subdivide.hpp" #include "dedge.hpp" #include namespace qflow { void Parametrizer::NormalizeMesh() { double maxV[3] = {-1e30, -1e30, -1e30}; double minV[3] = {1e30, 1e30, 1e30}; for (int i = 0; i < V.cols(); ++i) { for (int j = 0; j < 3; ++j) { maxV[j] = std::max(maxV[j], V(j, i)); minV[j] = std::min(minV[j], V(j, i)); } } double scale = std::max(std::max(maxV[0] - minV[0], maxV[1] - minV[1]), maxV[2] - minV[2]) * 0.5; #ifdef WITH_OMP #pragma omp parallel for #endif for (int i = 0; i < V.cols(); ++i) { for (int j = 0; j < 3; ++j) { V(j, i) = (V(j, i) - (maxV[j] + minV[j]) * 0.5) / scale; } } #ifdef LOG_OUTPUT printf("vertices size: %d\n", (int)V.cols()); printf("faces size: %d\n", (int)F.cols()); #endif this->normalize_scale = scale; this->normalize_offset = Vector3d(0.5 * (maxV[0] + minV[0]), 0.5 * (maxV[1] + minV[1]), 0.5 * (maxV[2] + minV[2])); // merge_close(V, F, 1e-6); } void Parametrizer::Load(const char* filename) { load(filename, V, F); NormalizeMesh(); } void Parametrizer::Initialize(int faces) { ComputeMeshStatus(); //ComputeCurvature(V, F, rho); rho.resize(V.cols(), 1); for (int i = 0; i < V.cols(); ++i) { rho[i] = 1; } #ifdef PERFORMANCE_TEST scale = sqrt(surface_area / (V.cols() * 10)); #else if (faces <= 0) { scale = sqrt(surface_area / V.cols()); } else { scale = std::sqrt(surface_area / faces); } #endif double target_len = std::min(scale / 2, average_edge_length * 2); #ifdef PERFORMANCE_TEST scale = sqrt(surface_area / V.cols()); #endif if (target_len < max_edge_length) { while (!compute_direct_graph(V, F, V2E, E2E, boundary, nonManifold)) ; subdivide(F, V, rho, V2E, E2E, boundary, nonManifold, target_len); } while (!compute_direct_graph(V, F, V2E, E2E, boundary, nonManifold)) ; generate_adjacency_matrix_uniform(F, V2E, E2E, nonManifold, adj); for (int iter = 0; iter < 5; ++iter) { VectorXd r(rho.size()); for (int i = 0; i < rho.size(); ++i) { r[i] = rho[i]; for (auto& id : adj[i]) { r[i] = std::min(r[i], rho[id.id]); } } rho = r; } ComputeSharpEdges(); ComputeSmoothNormal(); ComputeVertexArea(); if (flag_adaptive_scale) ComputeInverseAffine(); #ifdef LOG_OUTPUT printf("V: %d F: %d\n", (int)V.cols(), (int)F.cols()); #endif hierarchy.mA[0] = std::move(A); hierarchy.mAdj[0] = std::move(adj); hierarchy.mN[0] = std::move(N); hierarchy.mV[0] = std::move(V); hierarchy.mE2E = std::move(E2E); hierarchy.mF = std::move(F); hierarchy.Initialize(scale, flag_adaptive_scale); } void Parametrizer::ComputeMeshStatus() { surface_area = 0; average_edge_length = 0; max_edge_length = 0; for (int f = 0; f < F.cols(); ++f) { Vector3d v[3] = {V.col(F(0, f)), V.col(F(1, f)), V.col(F(2, f))}; double area = 0.5f * (v[1] - v[0]).cross(v[2] - v[0]).norm(); surface_area += area; for (int i = 0; i < 3; ++i) { double len = (v[(i + 1) % 3] - v[i]).norm(); average_edge_length += len; if (len > max_edge_length) max_edge_length = len; } } average_edge_length /= (F.cols() * 3); } void Parametrizer::ComputeSharpEdges() { sharp_edges.resize(F.cols() * 3, 0); if (flag_preserve_boundary) { for (int i = 0; i < sharp_edges.size(); ++i) { int re = E2E[i]; if (re == -1) { sharp_edges[i] = 1; } } } if (flag_preserve_sharp == 0) return; std::vector face_normals(F.cols()); for (int i = 0; i < F.cols(); ++i) { Vector3d p1 = V.col(F(0, i)); Vector3d p2 = V.col(F(1, i)); Vector3d p3 = V.col(F(2, i)); face_normals[i] = (p2 - p1).cross(p3 - p1).normalized(); } double cos_thres = cos(60.0/180.0*3.141592654); for (int i = 0; i < sharp_edges.size(); ++i) { int e = i; int re = E2E[e]; Vector3d& n1 = face_normals[e/3]; Vector3d& n2 = face_normals[re/3]; if (n1.dot(n2) < cos_thres) { sharp_edges[i] = 1; } } } void Parametrizer::ComputeSharpO() { auto& F = hierarchy.mF; auto& V = hierarchy.mV[0]; auto& O = hierarchy.mO[0]; auto& E2E = hierarchy.mE2E; DisajointTree tree(V.cols()); for (int i = 0; i < edge_diff.size(); ++i) { if (edge_diff[i][0] == 0 && edge_diff[i][1] == 0) { tree.Merge(edge_values[i].x, edge_values[i].y); } } std::map > edge_normals; for (int i = 0; i < F.cols(); ++i) { int pv[] = {tree.Parent(F(0, i)), tree.Parent(F(1, i)), tree.Parent(F(2, i))}; if (pv[0] == pv[1] || pv[1] == pv[2] || pv[2] == pv[0]) continue; DEdge e[] = {DEdge(pv[0], pv[1]), DEdge(pv[1], pv[2]), DEdge(pv[2], pv[0])}; Vector3d d1 = O.col(F(1, i)) - O.col(F(0, i)); Vector3d d2 = O.col(F(2, i)) - O.col(F(0, i)); Vector3d n = d1.cross(d2).normalized(); for (int j = 0; j < 3; ++j) { if (edge_normals.count(e[j]) == 0) edge_normals[e[j]] = std::vector(); edge_normals[e[j]].push_back(n); } } std::map sharps; for (auto& info : edge_normals) { auto& normals = info.second; bool sharp = false; for (int i = 0; i < normals.size(); ++i) { for (int j = i + 1; j < normals.size(); ++j) { if (normals[i].dot(normals[j]) < cos(60.0 / 180.0 * 3.141592654)) { sharp = true; break; } } if (sharp) break; } if (sharp) { int s = sharps.size(); sharps[info.first] = s; } } for (auto& s : sharp_edges) s = 0; std::vector sharp_hash(sharps.size(), 0); for (int i = 0; i < F.cols(); ++i) { for (int j = 0; j < 3; ++j) { int v1 = tree.Parent(F(j, i)); int v2 = tree.Parent(F((j + 1) % 3, i)); DEdge e(v1, v2); if (sharps.count(e) == 0) continue; int id = sharps[e]; if (sharp_hash[id]) continue; sharp_hash[id] = 1; sharp_edges[i * 3 + j] = 1; sharp_edges[E2E[i * 3 + j]] = 1; } } } void Parametrizer::ComputeSmoothNormal() { /* Compute face normals */ Nf.resize(3, F.cols()); #ifdef WITH_OMP #pragma omp parallel for #endif for (int f = 0; f < F.cols(); ++f) { Vector3d v0 = V.col(F(0, f)), v1 = V.col(F(1, f)), v2 = V.col(F(2, f)), n = (v1 - v0).cross(v2 - v0); double norm = n.norm(); if (norm < RCPOVERFLOW) { n = Vector3d::UnitX(); } else { n /= norm; } Nf.col(f) = n; } N.resize(3, V.cols()); #ifdef WITH_OMP #pragma omp parallel for #endif for (int i = 0; i < V2E.rows(); ++i) { int edge = V2E[i]; if (nonManifold[i] || edge == -1) { N.col(i) = Vector3d::UnitX(); continue; } int stop = edge; do { if (sharp_edges[edge]) break; edge = E2E[edge]; if (edge != -1) edge = dedge_next_3(edge); } while (edge != stop && edge != -1); if (edge == -1) edge = stop; else stop = edge; Vector3d normal = Vector3d::Zero(); do { int idx = edge % 3; Vector3d d0 = V.col(F((idx + 1) % 3, edge / 3)) - V.col(i); Vector3d d1 = V.col(F((idx + 2) % 3, edge / 3)) - V.col(i); double angle = fast_acos(d0.dot(d1) / std::sqrt(d0.squaredNorm() * d1.squaredNorm())); /* "Computing Vertex Normals from Polygonal Facets" by Grit Thuermer and Charles A. Wuethrich, JGT 1998, Vol 3 */ if (std::isfinite(angle)) normal += Nf.col(edge / 3) * angle; int opp = E2E[edge]; if (opp == -1) break; edge = dedge_next_3(opp); if (sharp_edges[edge]) break; } while (edge != stop); double norm = normal.norm(); N.col(i) = norm > RCPOVERFLOW ? Vector3d(normal / norm) : Vector3d::UnitX(); } } void Parametrizer::ComputeVertexArea() { A.resize(V.cols()); A.setZero(); #ifdef WITH_OMP #pragma omp parallel for #endif for (int i = 0; i < V2E.size(); ++i) { int edge = V2E[i], stop = edge; if (nonManifold[i] || edge == -1) continue; double vertex_area = 0; do { int ep = dedge_prev_3(edge), en = dedge_next_3(edge); Vector3d v = V.col(F(edge % 3, edge / 3)); Vector3d vn = V.col(F(en % 3, en / 3)); Vector3d vp = V.col(F(ep % 3, ep / 3)); Vector3d face_center = (v + vp + vn) * (1.0f / 3.0f); Vector3d prev = (v + vp) * 0.5f; Vector3d next = (v + vn) * 0.5f; vertex_area += 0.5f * ((v - prev).cross(v - face_center).norm() + (v - next).cross(v - face_center).norm()); int opp = E2E[edge]; if (opp == -1) break; edge = dedge_next_3(opp); } while (edge != stop); A[i] = vertex_area; } } void Parametrizer::FixValence() { // Remove Valence 2 while (true) { bool update = false; std::vector marks(V2E_compact.size(), 0); std::vector erasedF(F_compact.size(), 0); for (int i = 0; i < V2E_compact.size(); ++i) { int deid0 = V2E_compact[i]; if (marks[i] || deid0 == -1) continue; int deid = deid0; std::vector dedges; do { dedges.push_back(deid); int deid1 = deid / 4 * 4 + (deid + 3) % 4; deid = E2E_compact[deid1]; } while (deid != deid0 && deid != -1); if (dedges.size() == 2) { int v1 = F_compact[dedges[0]/4][(dedges[0] + 1)%4]; int v2 = F_compact[dedges[0]/4][(dedges[0] + 2)%4]; int v3 = F_compact[dedges[1]/4][(dedges[1] + 1)%4]; int v4 = F_compact[dedges[1]/4][(dedges[1] + 2)%4]; if (marks[v1] || marks[v2] || marks[v3] || marks[v4]) continue; marks[v1] = true; marks[v2] = true; marks[v3] = true; marks[v4] = true; if (v1 == v2 || v1 == v3 || v1 == v4 || v2 == v3 || v2 == v4 || v3 == v4) { erasedF[dedges[0]/4] = 1; } else { F_compact[dedges[0]/4] = Vector4i(v1, v2, v3, v4); } erasedF[dedges[1]/4] = 1; update = true; } } if (update) { int top = 0; for (int i = 0; i < erasedF.size(); ++i) { if (erasedF[i] == 0) { F_compact[top++] = F_compact[i]; } } F_compact.resize(top); compute_direct_graph_quad(O_compact, F_compact, V2E_compact, E2E_compact, boundary_compact, nonManifold_compact); } else { break; } } std::vector > v_dedges(V2E_compact.size()); for (int i = 0; i < F_compact.size(); ++i) { for (int j = 0; j < 4; ++j) { v_dedges[F_compact[i][j]].push_back(i * 4 + j); } } int top = V2E_compact.size(); for (int i = 0; i < v_dedges.size(); ++i) { std::map groups; int group_id = 0; for (int j = 0; j < v_dedges[i].size(); ++j) { int deid = v_dedges[i][j]; if (groups.count(deid)) continue; int deid0 = deid; do { groups[deid] = group_id; deid = deid / 4 * 4 + (deid + 3) % 4; deid = E2E_compact[deid]; } while (deid != deid0 && deid != -1); if (deid == -1) { deid = deid0; while (E2E_compact[deid] != -1) { deid = E2E_compact[deid]; deid = deid / 4 * 4 + (deid + 1) % 4; groups[deid] = group_id; } } group_id += 1; } if (group_id > 1) { for (auto& g : groups) { if (g.second >= 1) F_compact[g.first/4][g.first%4] = top - 1 + g.second; } for (int j = 1; j < group_id; ++j) { Vset.push_back(Vset[i]); N_compact.push_back(N_compact[i]); Q_compact.push_back(Q_compact[i]); O_compact.push_back(O_compact[i]); } top = O_compact.size(); } } compute_direct_graph_quad(O_compact, F_compact, V2E_compact, E2E_compact, boundary_compact, nonManifold_compact); // Decrease Valence while (true) { bool update = false; std::vector marks(V2E_compact.size(), 0); std::vector valences(V2E_compact.size(), 0); for (int i = 0; i < V2E_compact.size(); ++i) { int deid0 = V2E_compact[i]; if (deid0 == -1) continue; int deid = deid0; int count = 0; do { count += 1; int deid1 = E2E_compact[deid]; if (deid1 == -1) { count += 1; break; } deid = deid1 / 4 * 4 + (deid1 + 1) % 4; } while (deid != deid0 && deid != -1); if (deid == -1) count += 1; valences[i] = count; } std::priority_queue > prior_queue; for (int i = 0; i < valences.size(); ++i) { if (valences[i] > 5) prior_queue.push(std::make_pair(valences[i], i)); } while (!prior_queue.empty()) { auto info = prior_queue.top(); prior_queue.pop(); if (marks[info.second]) continue; int deid0 = V2E_compact[info.second]; if (deid0 == -1) continue; int deid = deid0; std::vector loop_vertices, loop_dedges;; bool marked = false; do { int v = F_compact[deid/4][(deid+1)%4]; loop_dedges.push_back(deid); loop_vertices.push_back(v); if (marks[v]) marked = true; int deid1 = E2E_compact[deid]; if (deid1 == -1) break; deid = deid1 / 4 * 4 + (deid1 + 1) % 4; } while (deid != deid0 && deid != -1); if (marked) continue; if (deid != -1) { int step = (info.first + 1) / 2; std::pair min_val(0x7fffffff, 0x7fffffff); int split_idx = -1; for (int i = 0; i < loop_vertices.size(); ++i) { if (i + step >= loop_vertices.size()) continue; int v1 = valences[loop_vertices[i]]; int v2 = valences[loop_vertices[i + step]]; if (v1 < v2) std::swap(v1, v2); auto key = std::make_pair(v1, v2); if (key < min_val) { min_val = key; split_idx = i + 1; } } if (min_val.first >= info.first) continue; update = true; for (int id = split_idx; id < split_idx + step; ++id) { F_compact[loop_dedges[id]/4][loop_dedges[id]%4] = O_compact.size(); } F_compact.push_back(Vector4i(O_compact.size(), loop_vertices[(split_idx+loop_vertices.size()-1)%loop_vertices.size()],info.second, loop_vertices[(split_idx + step - 1 + loop_vertices.size()) % loop_vertices.size()])); } else { for (int id = loop_vertices.size() / 2; id < loop_vertices.size(); ++id) { F_compact[loop_dedges[id]/4][loop_dedges[id]%4] = O_compact.size(); } update = true; } marks[info.second] = 1; for (int i = 0; i < loop_vertices.size(); ++i) { marks[loop_vertices[i]] = 1; } Vset.push_back(Vset[info.second]); O_compact.push_back(O_compact[info.second]); N_compact.push_back(N_compact[info.second]); Q_compact.push_back(Q_compact[info.second]); } if (!update) { break; } else { compute_direct_graph_quad(O_compact, F_compact, V2E_compact, E2E_compact, boundary_compact, nonManifold_compact); } } // Remove Zero Valence std::vector valences(V2E_compact.size(), 0); for (int i = 0; i < F_compact.size(); ++i) { for (int j = 0; j < 4; ++j) { valences[F_compact[i][j]] = 1; } } top = 0; std::vector compact_indices(valences.size()); for (int i = 0; i < valences.size(); ++i) { if (valences[i] == 0) continue; N_compact[top] = N_compact[i]; O_compact[top] = O_compact[i]; Q_compact[top] = Q_compact[i]; Vset[top] = Vset[i]; compact_indices[i] = top; top += 1; } for (int i = 0; i < F_compact.size(); ++i) { for (int j = 0; j < 4; ++j) { F_compact[i][j] = compact_indices[F_compact[i][j]]; } } N_compact.resize(top); O_compact.resize(top); Q_compact.resize(top); Vset.resize(top); compute_direct_graph_quad(O_compact, F_compact, V2E_compact, E2E_compact, boundary_compact, nonManifold_compact); { compute_direct_graph_quad(O_compact, F_compact, V2E_compact, E2E_compact, boundary_compact, nonManifold_compact); std::vector masks(F_compact.size() * 4, 0); for (int i = 0; i < V2E_compact.size(); ++i) { int deid0 = V2E_compact[i]; if (deid0 == -1) continue; int deid = deid0; do { masks[deid] = 1; deid = E2E_compact[deid]; if (deid == -1) { break; } deid = deid / 4 * 4 + (deid + 1) % 4; } while (deid != deid0 && deid != -1); } std::vector > v_dedges(V2E_compact.size()); for (int i = 0; i < F_compact.size(); ++i) { for (int j = 0; j < 4; ++j) { v_dedges[F_compact[i][j]].push_back(i * 4 + j); } } } std::map pts; for (int i = 0; i < V2E_compact.size(); ++i) { int deid0 = V2E_compact[i]; if (deid0 == -1) continue; int deid = deid0; int count = 0; do { count += 1; int deid1 = E2E_compact[deid]; if (deid1 == -1) break; deid = deid1 / 4 * 4 + (deid1 + 1) % 4; } while (deid != deid0 && deid != -1); if (pts.count(count) == 0) pts[count] = 1; else pts[count] += 1; } return; } void Parametrizer::OutputMesh(const char* obj_name) { std::ofstream os(obj_name); for (int i = 0; i < O_compact.size(); ++i) { auto t = O_compact[i] * this->normalize_scale + this->normalize_offset; os << "v " << t[0] << " " << t[1] << " " << t[2] << "\n"; } for (int i = 0; i < F_compact.size(); ++i) { os << "f " << F_compact[i][0]+1 << " " << F_compact[i][1]+1 << " " << F_compact[i][2]+1 << " " << F_compact[i][3]+1 << "\n"; } os.close(); } } // namespace qflow