Significant changes and improvements to the voronoi volumetric sampling framework. Thickness evaluation is almost usable...

This commit is contained in:
Paolo Cignoni 2016-02-02 15:06:40 +00:00
parent fd9cb58466
commit 9412d27833
2 changed files with 77 additions and 15 deletions

View File

@ -1229,6 +1229,7 @@ static int RestrictedVoronoiRelaxing(MeshType &m, std::vector<CoordType> &seedPo
ScalarType perturb = m.bbox.Diag()*vpp.seedPerturbationAmount;
for(i=0;i<relaxStep;++i)
{
if(cb) cb(i*100/relaxStep,"RestrictedVoronoiRelaxing ");
// Kdtree for the seeds must be rebuilt at each step;
VectorConstDataWrapper<std::vector<CoordType> > vdw(seedPosVec);
KdTree<ScalarType> seedTree(vdw);

View File

@ -25,6 +25,8 @@
#include <vcg/complex/algorithms/voronoi_processing.h>
#include <vcg/complex/algorithms/create/marching_cubes.h>
#include <vcg/complex/algorithms/create/mc_trivial_walker.h>
#include <vcg/complex/algorithms/point_sampling.h>
namespace vcg
{
@ -49,9 +51,11 @@ public:
typedef typename vcg::tri::MarchingCubes<MeshType, MyWalker> MyMarchingCubes;
VoronoiVolumeSampling(MeshType &_baseMesh, MeshType &_seedMesh)
:seedTree(0),surfTree(0),baseMesh(_baseMesh),seedMesh(_seedMesh),cb(0),restrictedRelaxationFlag(false)
:surfTree(0),seedTree(0),baseMesh(_baseMesh),seedMesh(_seedMesh),cb(0),restrictedRelaxationFlag(false)
{
tri::RequirePerFaceMark(baseMesh);
tri::UpdateBounding<MeshType>::Box(baseMesh);
tri::UpdateNormal<MeshType>::PerFaceNormalized(baseMesh);
}
KdTree<ScalarType> *surfTree; // used for fast inside query
@ -63,7 +67,6 @@ public:
typedef FaceTmark<MeshType> MarkerFace;
MarkerFace mf;
vcg::face::PointDistanceBaseFunctor<ScalarType> PDistFunct;
vcg::CallBackPos *cb;
MeshType &baseMesh;
MeshType &seedMesh;
@ -71,11 +74,12 @@ public:
ScalarType poissonRadiusSurface;
MeshType montecarloVolumeMesh; // we use this mesh as volume evaluator
MeshType seedDomainMesh; // where we choose the seeds (by default is the montecarlo volume mesh)
vcg::CallBackPos *cb;
bool restrictedRelaxationFlag;
// Build up the needed structure for efficient point in mesh search.
// It uses poisson disk sampling of the surface plus a
// It uses a poisson disk sampling of the surface plus a
// kdtree to speed up query point closest on surface for points far from surface.
// It initializes the surfGrid, surfTree and poissonSurfaceMesh members
void Init(ScalarType _poissonRadiusSurface=0)
@ -85,9 +89,9 @@ public:
if(_poissonRadiusSurface==0) poissonRadiusSurface = baseMesh.bbox.Diag()/50.0f;
else poissonRadiusSurface = _poissonRadiusSurface;
ScalarType meshArea = Stat<MeshType>::ComputeMeshArea(baseMesh);
int MontecarloSampleNum = 10 * meshArea / (poissonRadiusSurface*poissonRadiusSurface);
int MontecarloSurfSampleNum = 10 * meshArea / (poissonRadiusSurface*poissonRadiusSurface);
tri::MeshSampler<MeshType> sampler(montecarloSurfaceMesh);
tri::SurfaceSampling<MeshType,tri::MeshSampler<MeshType> >::Montecarlo(baseMesh, sampler, MontecarloSampleNum);
tri::SurfaceSampling<MeshType,tri::MeshSampler<MeshType> >::Montecarlo(baseMesh, sampler, MontecarloSurfSampleNum);
montecarloSurfaceMesh.bbox = baseMesh.bbox; // we want the same bounding box
poissonSurfaceMesh.Clear();
tri::MeshSampler<MeshType> mps(poissonSurfaceMesh);
@ -370,25 +374,80 @@ void QuadricRelaxVoronoiSamples(int relaxStep)
walker.template BuildMesh <MyMarchingCubes>(scaffoldingMesh, volume, mc,0);
}
/**
* @brief
* start from the montecarlo.
* Write onto the poisson surface sampling the maximum distance from a vertex inside.
* @brief Compute an evaulation of the thickness as distance from the medial axis.
* It starts from a montecarlo volume sampling and try to search for the samples that can be part of the medial axis.
* It use a sampled representation of the surface. A volume sample is considered part
* of the medial axis if there are at least two points that are (almost) the same minimal distance to that point.
*
*
*/
void ThicknessEvaluator()
void ThicknessEvaluator(float distThr, int smoothSize, int smoothIter, MeshType *skelM=0)
{
// surfTree->setMaxNofNeighbors(1);
tri::UpdateQuality<MeshType>::VertexConstant(poissonSurfaceMesh,0);
std::vector<VertexPointer> medialSrc(poissonSurfaceMesh.vert.size(),0);
for(VertexIterator vi=montecarloVolumeMesh.vert.begin(); vi!=montecarloVolumeMesh.vert.end(); ++vi)
{
unsigned int ind;
ScalarType sqdist;
this->surfTree->doQueryClosest(vi->P(),ind,sqdist);
VertexPointer vp = &poissonSurfaceMesh.vert[ind];
ScalarType dist = math::Sqrt(sqdist);
if(vp->Q() < dist) vp->Q()=dist;
ScalarType minDist = math::Sqrt(sqdist);
if(vp->Q() < minDist)
{
std::vector<unsigned int> indVec;
std::vector<ScalarType> sqDistVec;
this->surfTree->doQueryDist( vi->P(), minDist*distThr,indVec,sqDistVec);
if(indVec.size()>1)
{
for(size_t i=0;i<indVec.size();++i)
{
VertexPointer vp = &poissonSurfaceMesh.vert[indVec[i]];
ScalarType dist = math::Sqrt(sqDistVec[i]);
if(vp->Q() < minDist) {
vp->Q()=minDist;
medialSrc[indVec[i]]=&*vi;
}
}
}
}
}
// Now collect the vertexes of the volume mesh that are on the medial surface
if(skelM)
{
tri::UpdateFlags<MeshType>::VertexClearV(montecarloVolumeMesh);
for(int i=0;i<medialSrc.size();++i)
medialSrc[i]->SetV();
for(VertexIterator vi=montecarloVolumeMesh.vert.begin(); vi!=montecarloVolumeMesh.vert.end(); ++vi)
if(vi->IsV()) tri::Allocator<MeshType>::AddVertex(*skelM,vi->P());
printf("Generated a medial surf of %i vertexes\n",skelM->vn);
}
tri::Smooth<MeshType>::PointCloudQualityMedian(poissonSurfaceMesh);
tri::Smooth<MeshType>::PointCloudQualityAverage(poissonSurfaceMesh,smoothSize,smoothIter);
tri::UpdateColor<MeshType>::PerVertexQualityRamp(poissonSurfaceMesh);
tri::RedetailSampler<MeshType> rs;
rs.init(&poissonSurfaceMesh);
rs.dist_upper_bound = poissonSurfaceMesh.bbox.Diag()*0.05 ;
rs.qualityFlag = true;
tri::SurfaceSampling<MeshType, RedetailSampler<MeshType> >::VertexUniform(baseMesh, rs, baseMesh.vn, false);
}
void RefineSkeletonVolume(MeshType &skelMesh)
{
math::SubtractiveRingRNG rng;
int trialNum=0;
for(int i=0;i<skelMesh.vn;++i)
{
CoordType point = math::GeneratePointInBox3Uniform(rng,baseMesh.bbox);
trialNum++;
ScalarType d = this->DistanceFromSurface(point);
if(d<0){
vcg::tri::Allocator<MeshType>::AddVertex(montecarloVolumeMesh,point);
montecarloVolumeMesh.vert.back().Q() = fabs(d);
}
}
}
@ -396,10 +455,11 @@ void QuadricRelaxVoronoiSamples(int relaxStep)
{
montecarloVolumeMesh.Clear();
math::SubtractiveRingRNG rng;
int trialNum=0;
while(montecarloVolumeMesh.vn < montecarloSampleNum)
{
CoordType point = math::GeneratePointInBox3Uniform(rng,baseMesh.bbox);
trialNum++;
ScalarType d = this->DistanceFromSurface(point);
if(d<0){
vcg::tri::Allocator<MeshType>::AddVertex(montecarloVolumeMesh,point);
@ -408,6 +468,7 @@ void QuadricRelaxVoronoiSamples(int relaxStep)
if(cb && (montecarloVolumeMesh.vn%1000)==0)
cb((100*montecarloVolumeMesh.vn)/montecarloSampleNum,"Montecarlo Sampling...");
}
printf("Made %i Trials to get %i samples\n",trialNum,montecarloSampleNum);
tri::UpdateBounding<MeshType>::Box(montecarloVolumeMesh);
}