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Added TrivialPointerSampler to sample a mesh returning pointers to the chosen vertexes. 

Added another poisson pruning wrapper to make even easier to choose a subset of vertexes from a mesh with good distribution.
This commit is contained in:
Paolo Cignoni 2014-04-17 09:51:48 +00:00
parent 03206b6bc4
commit 4be7b59a80
1 changed files with 89 additions and 8 deletions
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97
vcg/complex/algorithms/point_sampling.h
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@ -115,8 +115,28 @@ public:
}
}; // end class TrivialSampler
template <class MeshType>
class TrivialPointerSampler
{
public:
typedef typename MeshType::CoordType CoordType;
typedef typename MeshType::VertexType VertexType;
typedef typename MeshType::FaceType FaceType;
TrivialPointerSampler() {}
~TrivialPointerSampler() {}
public:
std::vector<VertexType *> sampleVec;
void AddVert(const VertexType &p)
{
sampleVec->push_back(&p);
}
// This sampler should be used only for getting vertex pointers. Meaningless in other case.
void AddFace(const FaceType &, const CoordType &) { assert(0); }
void AddTextureSample(const FaceType &, const CoordType &, const Point2i &, float ) { assert(0); }
}; // end class TrivialSampler
template <class MeshType>
@ -1381,6 +1401,8 @@ static void InitSpatialHashTable(MetroMesh &montecarloMesh, MontecarloSHT &monte
static void PoissonDiskPruning(VertexSampler &ps, MetroMesh &montecarloMesh,
ScalarType diskRadius, const struct PoissonDiskParam pp=PoissonDiskParam())
{
if(pp.adaptiveRadiusFlag)
tri::RequirePerVertexQuality(montecarloMesh);
int t0 = clock();
// spatial index of montecarlo samples - used to choose a new sample to insert
MontecarloSHT montecarloSHT;
@ -1733,15 +1755,74 @@ void PoissonSampling(MeshType &m, // the mesh that has to be sampled
template <class MeshType>
void PoissonPruning(MeshType &m, // the mesh that has to be pruned
std::vector<Point3f> &poissonSamples, // the vector that will contain the chosen set of points
float & radius)
float & radius, int sampleNum=0)
{
typedef tri::TrivialSampler<MeshType> BaseSampler;
typename tri::SurfaceSampling<MeshType, BaseSampler>::PoissonDiskParam pp;
typename tri::SurfaceSampling<MeshType, BaseSampler>::PoissonDiskParam::Stat stat;
pp.pds = &stat;
tri::UpdateBounding<MeshType>::Box(m);
BaseSampler pdSampler(poissonSamples);
tri::SurfaceSampling<MeshType,BaseSampler>::PoissonDiskPruning(pdSampler, m, radius,pp);
typedef tri::TrivialSampler<MeshType> BaseSampler;
typename tri::SurfaceSampling<MeshType, BaseSampler>::PoissonDiskParam pp;
if(sampleNum>0 && radius==0)
radius = tri::SurfaceSampling<MeshType,BaseSampler>::ComputePoissonDiskRadius(m,sampleNum);
tri::UpdateBounding<MeshType>::Box(m);
BaseSampler pdSampler(poissonSamples);
tri::SurfaceSampling<MeshType,BaseSampler>::PoissonDiskPruning(pdSampler, m, radius,pp);
}
/// \brief Very simple wrapping for the Poisson Disk Pruning
///
/// This function simply takes a mesh and a radius and returns a vector of points
//
template <class MeshType>
void PoissonPruning(MeshType &m, // the mesh that has to be pruned
std::vector<typename MeshType::VertexPointer> &poissonSamples, // the vector that will contain the chosen set of points
float & radius, int sampleNum=0)
{
typedef tri::TrivialPointerSampler<MeshType> BaseSampler;
typename tri::SurfaceSampling<MeshType, BaseSampler>::PoissonDiskParam pp;
if(sampleNum>0 && radius==0)
radius = tri::SurfaceSampling<MeshType,BaseSampler>::ComputePoissonDiskRadius(m,sampleNum);
tri::UpdateBounding<MeshType>::Box(m);
BaseSampler pdSampler;
tri::SurfaceSampling<MeshType,BaseSampler>::PoissonDiskPruning(pdSampler, m, radius,pp);
std::swap(pdSampler.sampleVec,poissonSamples);
}
/// \brief Very simple wrapping for the Exact Poisson Disk Pruning
///
/// This function simply takes a mesh and an expected number of points and returns
/// vector of points. It performs multiple attempts with varius radii to correctly get the expected number of samples.
/// It is obviously much slower than the other versions...
template <class MeshType>
void PoissonPruningExact(MeshType &m, // the mesh that has to be pruned
std::vector<Point3f> &poissonSamples, // the vector that will contain the chosen set of points
float & radius,
int sampleNum,
float tolerance=0.04,
int maxIter=20)
{
int sampleNumMin = int(float(sampleNum)*(1.0f-tolerance));
int sampleNumMax = int(float(sampleNum)*(1.0f+tolerance));
float RadiusRangeMin = m.bbox.Diag()/100.0;
float RadiusRangeMax = m.bbox.Diag();
std::vector<Point3f> poissonSamplesTmp;
float curRadius;
int iterCnt=0;
while(iterCnt<maxIter &&
(poissonSamplesTmp.size() < sampleNumMin || poissonSamplesTmp.size() > sampleNumMax) )
{
curRadius=(RadiusRangeMax+RadiusRangeMin)/2.0f;
PoissonPruning(m,poissonSamplesTmp,curRadius);
//qDebug("(%f %f) Cur Radius %f -> %i sample instead of %i",RadiusRangeMin,RadiusRangeMax,curRadius,poissonSamplesTmp.size(),sampleNum);
if(poissonSamplesTmp.size() > sampleNum)
RadiusRangeMin = curRadius;
if(poissonSamplesTmp.size() < sampleNum)
RadiusRangeMax = curRadius;
}
swap(poissonSamples,poissonSamplesTmp);
radius = curRadius;
}
} // end namespace tri
} // end namespace vcg