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Added more control on the initialization of the random generator in the poisson sampling

This commit is contained in:
Paolo Cignoni 2014-08-29 13:21:27 +00:00
parent feff81dd01
commit 0e15b05070
1 changed files with 13 additions and 7 deletions
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20
vcg/complex/algorithms/point_sampling.h
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@ -1348,6 +1348,7 @@ struct PoissonDiskParam
preGenFlag = false;
preGenMesh = NULL;
geodesicDistanceFlag = false;
randomSeed = 0;
}
struct Stat
@ -1373,6 +1374,7 @@ struct PoissonDiskParam
MeshType *preGenMesh; // There are two ways of passing the pregen vertexes to the pruning, 1) is with a mesh pointer
// 2) with a per vertex attribute.
int MAXLEVELS;
int randomSeed;
Stat pds;
};
@ -1558,6 +1560,7 @@ static void PoissonDiskPruning(VertexSampler &ps, MeshType &montecarloMesh,
ScalarType diskRadius, PoissonDiskParam &pp)
{
tri::RequireCompactness(montecarloMesh);
if(pp.randomSeed) SamplingRandomGenerator().initialize(pp.randomSeed);
if(pp.adaptiveRadiusFlag)
tri::RequirePerVertexQuality(montecarloMesh);
int t0 = clock();
@ -1897,7 +1900,8 @@ void PoissonSampling(MeshType &m, // the mesh that has to be sampled
int sampleNum, // the desired number sample, if zero you must set the radius to the wanted value
typename MeshType::ScalarType &radius, // the Poisson Disk Radius (used if sampleNum==0, setted if sampleNum!=0)
typename MeshType::ScalarType radiusVariance=1,
typename MeshType::ScalarType PruningByNumberTolerance=0.04f)
typename MeshType::ScalarType PruningByNumberTolerance=0.04f,
unsigned int randSeed=0)
{
typedef tri::TrivialSampler<MeshType> BaseSampler;
@ -1910,6 +1914,7 @@ void PoissonSampling(MeshType &m, // the mesh that has to be sampled
if(radius>0 && sampleNum==0) sampleNum = tri::SurfaceSampling<MeshType,BaseSampler>::ComputePoissonSampleNum(m,radius);
pp.pds.sampleNum = sampleNum;
pp.randomSeed = randSeed;
poissonSamples.clear();
// std::vector<Point3f> MontecarloSamples;
MeshType MontecarloMesh;
@ -1918,6 +1923,7 @@ void PoissonSampling(MeshType &m, // the mesh that has to be sampled
MontecarloSampler mcSampler(MontecarloMesh);
BaseSampler pdSampler(poissonSamples);
if(randSeed) tri::SurfaceSampling<MeshType,MontecarloSampler>::SamplingRandomGenerator().initialize(randSeed);
tri::SurfaceSampling<MeshType,MontecarloSampler>::Montecarlo(m, mcSampler, std::max(10000,sampleNum*40));
tri::UpdateBounding<MeshType>::Box(MontecarloMesh);
// tri::Build(MontecarloMesh, MontecarloSamples);
@ -1946,8 +1952,7 @@ void PoissonPruning(MeshType &m, // the mesh that has to be pruned
{
typedef tri::TrivialPointerSampler<MeshType> BaseSampler;
typename tri::SurfaceSampling<MeshType, BaseSampler>::PoissonDiskParam pp;
if(randSeed !=0)
tri::SurfaceSampling<MeshType,BaseSampler>::SamplingRandomGenerator().initialize(randSeed);
pp.randomSeed = randSeed;
tri::UpdateBounding<MeshType>::Box(m);
BaseSampler pdSampler;
@ -1986,7 +1991,8 @@ void PoissonPruningExact(MeshType &m, /// the mesh that has to be pruned
typename MeshType::ScalarType & radius,
int sampleNum,
float tolerance=0.04,
int maxIter=20)
int maxIter=20,
unsigned int randSeed=0)
{
size_t sampleNumMin = int(float(sampleNum)*(1.0f-tolerance)); // the expected values range.
size_t sampleNumMax = int(float(sampleNum)*(1.0f+tolerance)); // e.g. any sampling in [sampleNumMin, sampleNumMax] is OK
@ -1999,14 +2005,14 @@ void PoissonPruningExact(MeshType &m, /// the mesh that has to be pruned
do
{
RangeMinRad/=2.0f;
PoissonPruning(m,poissonSamplesTmp,RangeMinRad);
PoissonPruning(m,poissonSamplesTmp,RangeMinRad,randSeed);
RangeMinSampleNum = poissonSamplesTmp.size();
} while(RangeMinSampleNum < sampleNumMin);
do
{
RangeMaxRad*=2.0f;
PoissonPruning(m,poissonSamplesTmp,RangeMaxRad);
PoissonPruning(m,poissonSamplesTmp,RangeMaxRad,randSeed);
RangeMaxSampleNum = poissonSamplesTmp.size();
} while(RangeMaxSampleNum > sampleNumMax);
@ -2016,7 +2022,7 @@ void PoissonPruningExact(MeshType &m, /// the mesh that has to be pruned
(poissonSamplesTmp.size() < sampleNumMin || poissonSamplesTmp.size() > sampleNumMax) )
{
curRadius=(RangeMaxRad+RangeMinRad)/2.0f;
PoissonPruning(m,poissonSamplesTmp,curRadius);
PoissonPruning(m,poissonSamplesTmp,curRadius,randSeed);
//qDebug("(%6.3f:%5i %6.3f:%5i) Cur Radius %f -> %i sample instead of %i",RangeMinRad,RangeMinSampleNum,RangeMaxRad,RangeMaxSampleNum,curRadius,poissonSamplesTmp.size(),sampleNum);
if(poissonSamplesTmp.size() > sampleNum)
RangeMinRad = curRadius;