BambuStudio/libigl/igl/copyleft/cgal/relabel_small_immersed_cell...

118 lines
3.6 KiB
C++

// This file is part of libigl, a simple c++ geometry processing library.
//
// Copyright (C) 2016 Qingnan Zhou <qnzhou@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/.
//
#include "relabel_small_immersed_cells.h"
#include "../../centroid.h"
#include "assign.h"
#include "cell_adjacency.h"
#include <vector>
template<
typename DerivedV,
typename DerivedF,
typename DerivedP,
typename DerivedC,
typename FT,
typename DerivedW>
IGL_INLINE void igl::copyleft::cgal::relabel_small_immersed_cells(
const Eigen::PlainObjectBase<DerivedV>& V,
const Eigen::PlainObjectBase<DerivedF>& F,
const size_t num_patches,
const Eigen::PlainObjectBase<DerivedP>& P,
const size_t num_cells,
const Eigen::PlainObjectBase<DerivedC>& C,
const FT vol_threashold,
Eigen::PlainObjectBase<DerivedW>& W)
{
const size_t num_vertices = V.rows();
const size_t num_faces = F.rows();
typedef std::tuple<typename DerivedC::Scalar, bool, size_t> CellConnection;
std::vector<std::set<CellConnection> > cell_adj;
igl::copyleft::cgal::cell_adjacency(C, num_cells, cell_adj);
Eigen::MatrixXd VV;
assign(V,VV);
auto compute_cell_volume = [&](size_t cell_id) {
std::vector<short> is_involved(num_patches, 0);
for (size_t i=0; i<num_patches; i++) {
if (C(i,0) == cell_id) {
// cell is on positive side of patch i.
is_involved[i] = 1;
}
if (C(i,1) == cell_id) {
// cell is on negative side of patch i.
is_involved[i] = -1;
}
}
std::vector<size_t> involved_positive_faces;
std::vector<size_t> involved_negative_faces;
for (size_t i=0; i<num_faces; i++) {
switch (is_involved[P[i]]) {
case 1:
involved_negative_faces.push_back(i);
break;
case -1:
involved_positive_faces.push_back(i);
break;
}
}
const size_t num_positive_faces = involved_positive_faces.size();
const size_t num_negative_faces = involved_negative_faces.size();
DerivedF selected_faces(num_positive_faces + num_negative_faces, 3);
for (size_t i=0; i<num_positive_faces; i++) {
selected_faces.row(i) = F.row(involved_positive_faces[i]);
}
for (size_t i=0; i<num_negative_faces; i++) {
selected_faces.row(num_positive_faces+i) =
F.row(involved_negative_faces[i]).reverse();
}
Eigen::VectorXd c(3);
double vol;
igl::centroid(VV, selected_faces, c, vol);
return vol;
};
std::vector<typename DerivedV::Scalar> cell_volumes(num_cells);
for (size_t i=0; i<num_cells; i++) {
cell_volumes[i] = compute_cell_volume(i);
}
std::vector<typename DerivedW::Scalar> cell_values(num_cells);
for (size_t i=0; i<num_faces; i++) {
cell_values[C(P[i], 0)] = W(i, 0);
cell_values[C(P[i], 1)] = W(i, 1);
}
for (size_t i=1; i<num_cells; i++) {
std::cout << cell_volumes[i] << std::endl;
if (cell_volumes[i] >= vol_threashold) continue;
std::set<typename DerivedW::Scalar> neighbor_values;
const auto neighbors = cell_adj[i];
for (const auto& entry : neighbors) {
const auto& j = std::get<0>(entry);
neighbor_values.insert(cell_values[j]);
}
// If cell i is immersed, assign its value to be the immersed value.
if (neighbor_values.size() == 1) {
cell_values[i] = *neighbor_values.begin();
}
}
for (size_t i=0; i<num_faces; i++) {
W(i,0) = cell_values[C(P[i], 0)];
W(i,1) = cell_values[C(P[i], 1)];
}
}