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curvature_info.cpp
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#include "curvature_info.h"
#include <igl/cotmatrix.h>
#include <igl/gaussian_curvature.h>
#include <igl/invert_diag.h>
#include <igl/principal_curvature.h>
void Initialize(CurvatureInfo& curvature_info)
{
curvature_info.mean.resize(0);
curvature_info.gaussian.resize(0);
curvature_info.principal_value1.resize(0);
curvature_info.principal_directions1.resize(0, 3);
curvature_info.principal_value2.resize(0);
curvature_info.principal_directions2.resize(0, 3);
}
void CalcCurvatures(const VectorArray& V, const IndicesArray& F, CurvatureInfo& curvature_info)
{
// Alternative discrete mean curvature
VectorArray HN;
Eigen::SparseMatrix<VectorArray::value_type> L, M, Minv;
igl::cotmatrix(V, F, L);
igl::massmatrix(V, F, igl::MASSMATRIX_TYPE_VORONOI, M);
igl::invert_diag(M, Minv);
// Laplace-Beltrami of position
HN = -Minv * (L * V);
// Extract magnitude as mean curvature
// Compute curvature directions via quadric fitting
igl::principal_curvature(V, F,
curvature_info.principal_directions1,
curvature_info.principal_directions2,
curvature_info.principal_value1,
curvature_info.principal_value2);
curvature_info.mean = HN.rowwise().norm();
curvature_info.mean = static_cast<VectorArray::value_type>(0.5) * (curvature_info.principal_value1 + curvature_info.principal_value2);
igl::gaussian_curvature(V, F, curvature_info.gaussian);
}
void to_json(nlohmann::json& j, const CurvatureInfo& info)
{
auto convert = [](const VectorArray& vec) -> std::vector<std::vector<double>>
{
std::vector<std::vector<double>> result(vec.rows());
for (Eigen::Index i = 0; i < vec.rows(); i++)
{
result[i].resize(3);
for (Eigen::Index j = 0; j < 3; j++)
{
result[i][j] = vec(i, j);
}
}
return result;
};
j["mean"] = info.mean;
j["gaussian"] = info.gaussian;
j["principal_value1"] = info.principal_value1;
j["principal_value2"] = info.principal_value2;
j["principal_directions1"] = convert(info.principal_directions1);
j["principal_directions2"] = convert(info.principal_directions2);
}