Computation of principal curvatures and directions on a torus mesh, using Normal cycle curvature measures (based on the theory of Normal cycle).
#include <iostream>
#include <algorithm>
#include "DGtal/base/Common.h"
#include "DGtal/math/linalg/EigenDecomposition.h"
#include "DGtal/shapes/SurfaceMesh.h"
#include "DGtal/shapes/SurfaceMeshHelper.h"
#include "DGtal/geometry/meshes/NormalCycleComputer.h"
#include "DGtal/io/writers/SurfaceMeshWriter.h"
#include "DGtal/io/colormaps/GradientColorMap.h"
#include "DGtal/io/colormaps/QuantifiedColorMap.h"
#include "DGtal/helpers/Shortcuts.h"
{
return gradcmap;
}
void usage(
int argc,
char* argv[] )
{
std::cout << "Usage: " << std::endl
<< "\t" << argv[ 0 ] << " <shape> <m> <n> <R>" << std::endl
<< std::endl
<< "Computation of principal curvatures and directions on a shape, " << std::endl
<< "using Normal Cycle anisotropic curvature measure." << std::endl
<< "- builds a <shape> in {torus,lantern,sphere}, with " << std::endl
<< " <m> latitude points and <n> longitude points." << std::endl
<< "- <R> is the radius of the measuring balls." << std::endl
<< "It produces several OBJ files to display principal " << std::endl
<< "curvatures and directions estimations: `example-cnc-K1.obj`" << std::endl
<< "`example-cnc-K2.obj`, `example-cnc-D1.obj`, and" << std::endl
<< "`example-cnc-D2.obj` as well as associated MTL files." << std::endl;
}
int main(
int argc,
char* argv[] )
{
if ( argc <= 1 )
{
return 0;
}
typedef SurfaceMesh< RealPoint, RealVector > SM;
typedef NormalCycleComputer< RealPoint, RealVector > NC;
typedef SurfaceMeshHelper< RealPoint, RealVector > SMH;
std::string input = argv[ 1 ];
int m = argc > 2 ? atoi( argv[ 2 ] ) : 20;
int n = argc > 3 ? atoi( argv[ 3 ] ) : 20;
double R = argc > 4 ? atof( argv[ 4 ] ) : 0.5;
SM smesh;
double exp_K1_min = 0.0;
double exp_K1_max = 0.0;
double exp_K2_min = 0.0;
double exp_K2_max = 0.0;
if ( input == "torus" )
{
const double big_radius = 3.0;
const double small_radius = 1.00001;
smesh = SMH::makeTorus( big_radius, small_radius,
SMH::NormalsType::VERTEX_NORMALS );
exp_K1_min = ( 1.0 / ( small_radius - big_radius ) );
exp_K1_max = ( 1.0 / ( big_radius + small_radius ) );
exp_K2_min = 1.0 / small_radius;
exp_K2_max = 1.0 / small_radius;
}
else if ( input == "sphere" )
{
const double radius = 2.0;
smesh = SMH::makeSphere( radius,
RealPoint { 0.0, 0.0, 0.0 }, m, n,
SMH::NormalsType::VERTEX_NORMALS );
exp_K1_min = 1.0 / radius;
exp_K1_max = 1.0 / radius;
exp_K2_min = 1.0 / radius;
exp_K2_max = 1.0 / radius;
}
else if ( input == "lantern" )
{
const double radius = 2.0;
smesh = SMH::makeLantern( radius, 1.0,
RealPoint { 0.0, 0.0, 0.0 }, m, n,
SMH::NormalsType::VERTEX_NORMALS );
exp_K1_min = 0.0;
exp_K1_max = 0.0;
exp_K2_min = 1.0 / radius;
exp_K2_max = 1.0 / radius;
}
NC nc( smesh );
auto mu0 = nc.computeMu0();
auto muXY = nc.computeMuXY();
std::vector< double > K1( smesh.nbFaces() );
std::vector< double >
K2( smesh.nbFaces() );
std::vector< RealVector > D1( smesh.nbFaces() );
std::vector< RealVector > D2( smesh.nbFaces() );
smesh.computeFaceNormalsFromPositions();
for ( auto f = 0; f < smesh.nbFaces(); ++f )
{
const auto b = smesh.faceCentroid( f );
const auto N = smesh.faceNormals()[ f ];
const auto area = mu0 .measure( b, R, f );
const auto M = muXY.measure( b, R, f );
std::tie( K1[ f ], K2[ f ], D1[ f ], D2[ f ] )
= nc.principalCurvatures( area, M, N );
}
auto K1_min_max = std::minmax_element( K1.cbegin(), K1.cend() );
auto K2_min_max = std::minmax_element(
K2.cbegin(),
K2.cend() );
std::cout << "Expected k1 curvatures:"
<< " min=" << exp_K1_min << " max=" << exp_K1_max
<< std::endl;
std::cout << "Computed k1 curvatures:"
<< " min=" << *K1_min_max.first << " max=" << *K1_min_max.second
<< std::endl;
std::cout << "Expected k2 curvatures:"
<< " min=" << exp_K2_min << " max=" << exp_K2_max
<< std::endl;
std::cout << "Computed k2 curvatures:"
<< " min=" << *K2_min_max.first << " max=" << *K2_min_max.second
<< std::endl;
typedef SurfaceMeshWriter< RealPoint, RealVector > SMW;
typedef Shortcuts< KSpace > SH;
auto colorsK1 = SMW::Colors( smesh.nbFaces() );
auto colorsK2 = SMW::Colors( smesh.nbFaces() );
for ( auto i = 0; i < smesh.nbFaces(); i++ )
{
colorsK1[ i ] = colormapK1( K1[ i ] );
colorsK2[ i ] = colormapK2( K2[ i ] );
}
SMW::writeOBJ( "example-nc-K1", smesh, colorsK1 );
SMW::writeOBJ( "example-nc-K2", smesh, colorsK2 );
const auto avg_e = smesh.averageEdgeLength();
SH::RealPoints positions( smesh.nbFaces() );
for ( auto f = 0; f < positions.size(); ++f )
{
D1[ f ] *= smesh.localWindow( f );
positions[ f ] = smesh.faceCentroid( f ) - 0.5 * D1[ f ];
}
SH::saveVectorFieldOBJ( positions, D1, 0.05 * avg_e, SH::Colors(),
"example-nc-D1",
SH::Color::Black, SH::Color( 0, 128, 0 ) );
for ( auto f = 0; f < positions.size(); ++f )
{
D2[ f ] *= smesh.localWindow( f );
positions[ f ] = smesh.faceCentroid( f ) - 0.5 * D2[ f ];
}
SH::saveVectorFieldOBJ( positions, D2, 0.05 * avg_e, SH::Colors(),
"example-nc-D2",
SH::Color::Black, SH::Color(128, 0,128 ) );
return 0;
}
void usage(int, char **argv)
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Aim: This class template may be used to (linearly) convert scalar values in a given range into a colo...
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[curvature-comparator-Includes]
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