32 #include "DGtal/base/Common.h" 33 #include "ConfigTest.h" 34 #include "DGtal/helpers/StdDefs.h" 35 #include "DGtal/base/BasicFunctors.h" 36 #include "DGtal/graph/GraphVisitorRange.h" 37 #include "DGtal/io/boards/Board2D.h" 38 #include "DGtal/io/Color.h" 39 #include "DGtal/io/colormaps/GradientColorMap.h" 40 #include "DGtal/shapes/Shapes.h" 41 #include "DGtal/kernel/CanonicEmbedder.h" 42 #include "DGtal/topology/CanonicSCellEmbedder.h" 43 #include "DGtal/graph/DistanceBreadthFirstVisitor.h" 44 #include "DGtal/geometry/volumes/distance/ExactPredicateLpSeparableMetric.h" 45 #include "DGtal/geometry/surfaces/estimation/LocalEstimatorFromSurfelFunctorAdapter.h" 46 #include "DGtal/geometry/surfaces/estimation/estimationFunctors/BasicEstimatorFromSurfelsFunctors.h" 47 #include "DGtal/geometry/surfaces/estimation/estimationFunctors/CLocalEstimatorFromSurfelFunctor.h" 49 #include "DGtal/topology/LightImplicitDigitalSurface.h" 50 #include "DGtal/topology/DigitalSurface.h" 52 #include "DGtal/geometry/surfaces/estimation/estimationFunctors/ElementaryConvolutionNormalVectorEstimator.h" 56 #include "DGtal/geometry/surfaces/estimation/estimationFunctors/MongeJetFittingGaussianCurvatureEstimator.h" 57 #include "DGtal/geometry/surfaces/estimation/estimationFunctors/MongeJetFittingMeanCurvatureEstimator.h" 58 #include "DGtal/geometry/surfaces/estimation/estimationFunctors/MongeJetFittingNormalVectorEstimator.h" 59 #include "DGtal/geometry/surfaces/estimation/estimationFunctors/LinearLeastSquareFittingNormalVectorEstimator.h" 65 using namespace DGtal;
73 template <
typename TPo
int3>
74 struct ImplicitDigitalEllipse3 {
75 typedef TPoint3
Point;
77 ImplicitDigitalEllipse3(
double a,
double b,
double c )
78 : myA( a ), myB( b ), myC( c )
81 bool operator()(
const TPoint3 & p )
const 83 double x = ( (double) p[ 0 ] / myA );
84 double y = ( (double) p[ 1 ] / myB );
85 double z = ( (double) p[ 2 ] / myC );
86 return ( x*x + y*y + z*z ) <= 1.0;
98 unsigned int nbok = 0;
103 typedef ImplicitDigitalEllipse3<Point> ImplicitDigitalEllipse;
107 typedef SurfaceContainer::Surfel Surfel;
111 Point p1( -10, -10, -10 );
112 Point p2( 10, 10, 10 );
114 nbok += K.init( p1, p2,
true ) ? 1 : 0;
116 trace.
info() <<
"(" << nbok <<
"/" << nb <<
") " 117 <<
"K.init() is ok" << std::endl;
118 ImplicitDigitalEllipse ellipse( 6.0, 4.5, 3.4 );
120 SurfaceContainer* surfaceContainer =
new SurfaceContainer
122 Surface surface( surfaceContainer );
123 unsigned int nbsurfels = 0;
124 for ( ConstIterator it = surface.begin(), it_end = surface.end();
129 trace.
info() << nbsurfels <<
" surfels found." << std::endl;
136 Functor, ConvFunctor> Reporter;
142 Functor estimator(embedder, 1);
144 ConvFunctor convFunc(1.0);
146 reporter.attach(surface);
147 reporter.setParams(l2Metric,estimator,convFunc, 5);
151 ReporterGaussian reporterGaussian;
152 reporterGaussian.attach(surface);
153 reporterGaussian.setParams(l2Metric,estimator,gaussKernelFunc, 5.0);
154 reporterGaussian.init(1, surface.begin(), surface.end());
156 reporter.init(1.0, surface.begin(), surface.end());
157 Functor::Quantity val = reporter.eval( surface.begin() );
158 trace.
info() <<
"Value with radius 5= "<<val << std::endl;
159 nbok += ((fabs((
double)val - 124.0)) < 40) ? 1 : 0;
162 reporter.setParams(l2Metric,estimator,convFunc, 20.0);
163 reporter.init(1, surface.begin(), surface.end());
164 Functor::Quantity val2 = reporter.eval( surface.begin() );
165 trace.
info() <<
"Value with radius 20= "<<val2 << std::endl;
167 nbok += ((fabs((
double)val2 - 398.0)) < 120) ? 1 : 0;
173 nbok +=
true ? 1 : 0;
175 trace.
info() <<
"(" << nbok <<
"/" << nb <<
") " 176 <<
"true == true" << std::endl;
204 int main(
int argc,
char** argv )
208 for (
int i = 0; i < argc; ++i )
213 trace.
emphase() << ( res ?
"Passed." :
"Error." ) << endl;
void beginBlock(const std::string &keyword="")
Aim: defines a functor on double numbers which corresponds to a Gaussian convolution kernel...
Aim: Define a simple functor that returns a constant value (0 by default).
InHalfPlaneBySimple3x3Matrix< Point, double > Functor
Aim: Estimates normal vector by convolution of elementary normal vector to adjacent surfel...
Aim: A model of CDigitalSurfaceContainer which defines the digital surface as the boundary of an impl...
MyDigitalSurface::ConstIterator ConstIterator
Aim: Estimates normal vector using CGAL linear least squares plane fitting.
Aim: A utility class for constructing surfaces (i.e. set of (n-1)-cells).
Aim: Represents a set of n-1-cells in a nD space, together with adjacency relation between these cell...
int main(int argc, char **argv)
Aim: implements separable l_p metrics with exact predicates.
Aim: Estimates normal vector using CGAL Jet Fitting and Monge Form.
Aim: Estimates Mean curvature using CGAL Jet Fitting and Monge Form.
Aim: this concept describes functors on digtal surface surfel which can be used to define local estim...
bool testLocalEstimatorFromFunctorAdapter()
DGtal is the top-level namespace which contains all DGtal functions and types.
Represents a signed cell in a cellular grid space by its Khalimsky coordinates and a boolean value...
Aim: Estimates Gaussian curvature using CGAL Jet Fitting and Monge Form.
Aim: this class adapts any local functor on digital surface element to define a local estimator...