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/****************************************************************************
* VCGLib o o *
* Visual and Computer Graphics Library o o *
* _ O _ *
* Copyright(C) 2004 \/)\/ *
* Visual Computing Lab /\/| *
* ISTI - Italian National Research Council | *
* \ *
* All rights reserved. *
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License (http://www.gnu.org/licenses/gpl.txt) *
* for more details. *
* *
****************************************************************************/
/****************************************************************************
History
$Log: not supported by cvs2svn $
Revision 1.19 2008/05/08 23:50:44 cignoni
renamed vertex quality smoothing
added face normal smoothing FF (and added a VF to the previous face normal smoothing)
Revision 1.18 2008/05/02 09:43:25 cignoni
Added color smoothing, scale dependent laplacian changed a SD_old into SD fujumori, improved comments.
Revision 1.17 2008/04/18 17:48:29 cignoni
added facenormal smoothing
Revision 1.16 2008/02/07 10:24:51 cignoni
added a missing IsD() check
Revision 1.15 2007/11/05 23:47:20 cignoni
added selection to the pasodoble smoothing
Revision 1.14 2007/03/27 09:40:47 cignoni
Changed use of selected to visited flags. Improved variable namings and comments
Revision 1.13 2006/11/07 15:13:56 zifnab1974
Necessary changes for compilation with gcc 3.4.6. Especially the hash function is a problem
Revision 1.12 2006/11/07 11:28:02 cignoni
Added Quality weighted laplacian smoothing
Revision 1.11 2006/10/19 07:33:03 cignoni
Corrected Laplacian, Added selection to HCSmooth
Revision 1.10 2006/09/25 09:41:41 cignoni
Added new version of pasodoble smoothing
Revision 1.9 2006/02/06 10:45:47 cignoni
Added missing typenames
Revision 1.7 2006/01/24 13:23:22 pietroni
used template types instead of point3f and float inside function calls
Revision 1.6 2005/12/06 17:55:16 pietroni
1 bug corrected
Revision 1.5 2005/12/02 16:24:56 pietroni
corrected 1 bug in Cross Prod Gradient
Revision 1.4 2005/11/23 16:24:44 pietroni
corrected CrossProdGradient( )
Revision 1.3 2005/07/11 13:12:05 cignoni
small gcc-related compiling issues (typenames,ending cr, initialization order)
Revision 1.2 2005/03/16 16:14:12 spinelli
aggiunta funzione PasoDobleSmooth e relative:
- FitMesh
- FaceErrorGrad
- CrossProdGradient
- TriAreaGradient
- NormalSmooth
e le classi:
- PDVertInfo
- PDFaceInfo
necessarie per utilizzare SimpleTempData
Revision 1.1 2004/12/11 14:53:19 ganovelli
first partial porting: compiled gcc,intel and msvc
****************************************************************************/
#ifndef __VCGLIB__SMOOTH
#define __VCGLIB__SMOOTH
#include <wrap/callback.h>
#include <vcg/space/point3.h>
#include <vcg/space/line3.h>
#include <vcg/container/simple_temporary_data.h>
#include <vcg/complex/trimesh/update/normal.h>
namespace vcg
{
namespace tri
{
///
/** \addtogroup trimesh */
/*@{*/
/// Class of static functions to smooth and fair meshes and their attributes.
template <class SmoothMeshType>
class Smooth
{
public:
typedef SmoothMeshType MeshType;
typedef typename MeshType::VertexType VertexType;
typedef typename MeshType::VertexType::CoordType CoordType;
typedef typename MeshType::VertexPointer VertexPointer;
typedef typename MeshType::VertexIterator VertexIterator;
typedef typename MeshType::ScalarType ScalarType;
typedef typename MeshType::FaceType FaceType;
typedef typename MeshType::FacePointer FacePointer;
typedef typename MeshType::FaceIterator FaceIterator;
typedef typename MeshType::FaceContainer FaceContainer;
typedef typename vcg::Box3<ScalarType> Box3Type;
typedef typename vcg::face::VFIterator<FaceType> VFLocalIterator;
class ScaleLaplacianInfo
{
public:
CoordType PntSum;
ScalarType LenSum;
};
// This is precisely what curvature flow does.
// Curvature flow smoothes the surface by moving along the surface
// normal n with a speed equal to the mean curvature
void VertexCoordLaplacianCurvatureFlow(MeshType &m, int step, ScalarType delta)
{
}
// Another Laplacian smoothing variant,
// here we sum the baricenter of the faces incidents on each vertex weighting them with the angle
static void VertexCoordLaplacianAngleWeighted(MeshType &m, int step, ScalarType delta)
{
ScaleLaplacianInfo lpz;
lpz.PntSum=CoordType(0,0,0);
lpz.LenSum=0;
SimpleTempData<typename MeshType::VertContainer, ScaleLaplacianInfo > TD(m.vert,lpz);
FaceIterator fi;
for(int i=0;i<step;++i)
{
VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
TD[*vi]=lpz;
ScalarType a[3];
for(fi=m.face.begin();fi!=m.face.end();++fi)if(!(*fi).IsD())
{
CoordType mp=((*fi).V(0)->P() + (*fi).V(1)->P() + (*fi).V(2)->P())/3.0;
CoordType e0=((*fi).V(0)->P() - (*fi).V(1)->P()).Normalize();
CoordType e1=((*fi).V(1)->P() - (*fi).V(2)->P()).Normalize();
CoordType e2=((*fi).V(2)->P() - (*fi).V(0)->P()).Normalize();
a[0]=AngleN(-e0,e2);
a[1]=AngleN(-e1,e0);
a[2]=AngleN(-e2,e1);
//assert(fabs(M_PI -a[0] -a[1] -a[2])<0.0000001);
for(int j=0;j<3;++j){
CoordType dir= (mp-(*fi).V(j)->P()).Normalize();
TD[(*fi).V(j)].PntSum+=dir*a[j];
TD[(*fi).V(j)].LenSum+=a[j]; // well, it should be named angleSum
}
}
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].LenSum>0 )
(*vi).P() = (*vi).P() + (TD[*vi].PntSum/TD[*vi].LenSum ) * delta;
}
};
// Scale dependent laplacian smoothing [Fujiwara 95]
// as described in
// Implicit Fairing of Irregular Meshes using Diffusion and Curvature Flow
// Mathieu Desbrun, Mark Meyer, Peter Schroeder, Alan H. Barr
// SIGGRAPH 99
// REQUIREMENTS: Border Flags.
//
// Note the delta parameter is in a absolute unit
// to get stability it should be a small percentage of the shortest edge.
static void VertexCoordScaleDependentLaplacian_Fujiwara(MeshType &m, int step, ScalarType delta)
{
SimpleTempData<typename MeshType::VertContainer, ScaleLaplacianInfo > TD(m.vert);
ScaleLaplacianInfo lpz;
lpz.PntSum=CoordType(0,0,0);
lpz.LenSum=0;
FaceIterator fi;
for(int i=0;i<step;++i)
{
VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
TD[*vi]=lpz;
for(fi=m.face.begin();fi!=m.face.end();++fi)if(!(*fi).IsD())
for(int j=0;j<3;++j)
if(!(*fi).IsB(j)) {
CoordType edge= (*fi).V1(j)->P() -(*fi).V(j)->P();
ScalarType len=Norm(edge);
edge/=len;
TD[(*fi).V(j)].PntSum+=edge;
TD[(*fi).V1(j)].PntSum-=edge;
TD[(*fi).V(j)].LenSum+=len;
TD[(*fi).V1(j)].LenSum+=len;
}
for(fi=m.face.begin();fi!=m.face.end();++fi)if(!(*fi).IsD())
for(int j=0;j<3;++j)
// se l'edge j e' di bordo si riazzera tutto e si riparte
if((*fi).IsB(j)) {
TD[(*fi).V(j)].PntSum=CoordType(0,0,0);
TD[(*fi).V1(j)].PntSum=CoordType(0,0,0);
TD[(*fi).V(j)].LenSum=0;
TD[(*fi).V1(j)].LenSum=0;
}
for(fi=m.face.begin();fi!=m.face.end();++fi) if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
CoordType edge= (*fi).V1(j)->P() -(*fi).V(j)->P();
ScalarType len=Norm(edge);
edge/=len;
TD[(*fi).V(j)].PntSum+=edge;
TD[(*fi).V1(j)].PntSum-=edge;
TD[(*fi).V(j)].LenSum+=len;
TD[(*fi).V1(j)].LenSum+=len;
}
// The fundamental part:
// We move the new point of a quantity
//
// L(M) = 1/Sum(edgelen) * Sum(Normalized edges)
//
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].LenSum>0 )
(*vi).P() = (*vi).P() + (TD[*vi].PntSum/TD[*vi].LenSum)*delta;
}
};
class LaplacianInfo
{
public:
LaplacianInfo(const CoordType &_p, const int _n):sum(_p),cnt(_n) {}
LaplacianInfo() {}
CoordType sum;
ScalarType cnt;
};
// Classical Laplacian Smoothing. Each vertex can be moved onto the average of the adjacent vertices.
// Can smooth only the selected vertices and weight the smoothing according to the quality
// In the latter case 0 means that the vertex is not moved and 1 means that the vertex is moved onto the computed position.
//
// From the Taubin definition "A signal proc approach to fair surface design"
// We define the discrete Laplacian of a discrete surface signal by weighted averages over the neighborhoods
// \delta xi = \Sum wij (xj - xi) ;
// where xj are the adjacent vertices of xi and wij is usually 1/n_adj
//
// This function simply accumulate over a TempData all the positions of the ajacent vertices
//
static void AccumulateLaplacianInfo(MeshType &m, SimpleTempData<typename MeshType::VertContainer,LaplacianInfo > &TD)
{
FaceIterator fi;
for(fi=m.face.begin();fi!=m.face.end();++fi)
{
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if(!(*fi).IsB(j))
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->P();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->P();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
}
// si azzaera i dati per i vertici di bordo
for(fi=m.face.begin();fi!=m.face.end();++fi)
{
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V0(j)].sum=(*fi).P0(j);
TD[(*fi).V1(j)].sum=(*fi).P1(j);
TD[(*fi).V0(j)].cnt=1;
TD[(*fi).V1(j)].cnt=1;
}
}
// se l'edge j e' di bordo si deve mediare solo con gli adiacenti
for(fi=m.face.begin();fi!=m.face.end();++fi)
{
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->P();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->P();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
}
}
static void VertexCoordLaplacian(MeshType &m, int step, bool SmoothSelected=false, vcg::CallBackPos * cb=0)
{
VertexIterator vi;
LaplacianInfo lpz(CoordType(0,0,0),0);
SimpleTempData<typename MeshType::VertContainer,LaplacianInfo > TD(m.vert,lpz);
for(int i=0;i<step;++i)
{
if(cb)cb(100*i/step, "Classic Laplacian Smoothing");
TD.Init(lpz);
AccumulateLaplacianInfo(m,TD);
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
{
if(!SmoothSelected || (*vi).IsS())
(*vi).P() = ( (*vi).P() + TD[*vi].sum)/(TD[*vi].cnt+1);
}
}
}
// Same of above but moves only the vertices that do not change FaceOrientation more that the given threshold
static void VertexCoordPlanarLaplacian(MeshType &m, int step, float AngleThrRad = math::ToRad(1.0), bool SmoothSelected=false, vcg::CallBackPos * cb=0)
{
VertexIterator vi;
FaceIterator fi;
LaplacianInfo lpz(CoordType(0,0,0),0);
SimpleTempData<typename MeshType::VertContainer,LaplacianInfo > TD(m.vert,lpz);
for(int i=0;i<step;++i)
{
if(cb)cb(100*i/step, "Planar Laplacian Smoothing");
TD.Init(lpz);
AccumulateLaplacianInfo(m,TD);
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
{
if(!SmoothSelected || (*vi).IsS())
TD[*vi].sum = ( (*vi).P() + TD[*vi].sum)/(TD[*vi].cnt+1);
}
for(fi=m.face.begin();fi!=m.face.end();++fi){
if(!(*fi).IsD()){
for (int j = 0; j < 3; ++j) {
if(Angle( NormalizedNormal(TD[(*fi).V0(j)].sum, (*fi).P1(j), (*fi).P2(j) ),
NormalizedNormal( (*fi).P0(j) , (*fi).P1(j), (*fi).P2(j) ) ) > AngleThrRad )
TD[(*fi).V0(j)].sum = (*fi).P0(j);
}
}
}
for(fi=m.face.begin();fi!=m.face.end();++fi){
if(!(*fi).IsD()){
for (int j = 0; j < 3; ++j) {
if(Angle( NormalizedNormal(TD[(*fi).V0(j)].sum, TD[(*fi).V1(j)].sum, (*fi).P2(j) ),
NormalizedNormal( (*fi).P0(j) , (*fi).P1(j), (*fi).P2(j) ) ) > AngleThrRad )
{
TD[(*fi).V0(j)].sum = (*fi).P0(j);
TD[(*fi).V1(j)].sum = (*fi).P1(j);
}
}
}
}
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
(*vi).P()= TD[*vi].sum;
}// end step
}
static void VertexCoordLaplacianBlend(MeshType &m, int step, float alpha, bool SmoothSelected=false)
{
VertexIterator vi;
LaplacianInfo lpz(CoordType(0,0,0),0);
assert (alpha<= 1.0);
SimpleTempData<typename MeshType::VertContainer,LaplacianInfo > TD(m.vert);
for(int i=0;i<step;++i)
{
TD.Init(lpz);
AccumulateLaplacianInfo(m,TD);
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
{
if(!SmoothSelected || (*vi).IsS())
{
CoordType Delta = TD[*vi].sum/TD[*vi].cnt - (*vi).P();
(*vi).P() = (*vi).P() + Delta*alpha;
}
}
}
}
/* a couple of notes about the lambda mu values
We assume that 0 < lambda , and mu is a negative scale factor such that mu < - lambda.
Holds mu+lambda < 0 (e.g in absolute value mu is greater)
let kpb be the pass-band frequency, taubin says that:
kpb = 1/lambda + 1/mu >0
Values of kpb from 0.01 to 0.1 produce good results according to the original paper.
kpb * mu - mu/lambda = 1
mu = 1/(kpb-1/lambda )
So if
* lambda == 0.5, kpb==0.1 -> mu = 1/(0.1 - 2) = -0.526
* lambda == 0.5, kpb==0.01 -> mu = 1/(0.01 - 2) = -0.502
*/
static void VertexCoordTaubin(MeshType &m, int step, float lambda, float mu, bool SmoothSelected=false, vcg::CallBackPos * cb=0)
{
LaplacianInfo lpz(CoordType(0,0,0),0);
SimpleTempData<typename MeshType::VertContainer,LaplacianInfo > TD(m.vert,lpz);
VertexIterator vi;
for(int i=0;i<step;++i)
{
if(cb) cb(100*i/step, "Taubin Smoothing");
TD.Init(lpz);
AccumulateLaplacianInfo(m,TD);
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
{
if(!SmoothSelected || (*vi).IsS())
{
CoordType Delta = TD[*vi].sum/TD[*vi].cnt - (*vi).P();
(*vi).P() = (*vi).P() + Delta*lambda ;
}
}
TD.Init(lpz);
AccumulateLaplacianInfo(m,TD);
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
{
if(!SmoothSelected || (*vi).IsS())
{
CoordType Delta = TD[*vi].sum/TD[*vi].cnt - (*vi).P();
(*vi).P() = (*vi).P() + Delta*mu ;
}
}
} // end for step
}
static void VertexCoordLaplacianQuality(MeshType &m, int step, bool SmoothSelected=false)
{
LaplacianInfo lpz;
lpz.sum=CoordType(0,0,0);
lpz.cnt=1;
SimpleTempData<typename MeshType::VertContainer,LaplacianInfo > TD(m.vert,lpz);
for(int i=0;i<step;++i)
{
for(VertexIterator vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
if(!SmoothSelected || (*vi).IsS())
{
float q=(*vi).Q();
(*vi).P()=(*vi).P()*q + (TD[*vi].sum/TD[*vi].cnt)*(1.0-q);
}
} // end for
};
/*
Improved Laplacian Smoothing of Noisy Surface Meshes
J. Vollmer, R. Mencl, and H. M<>ller
EUROGRAPHICS Volume 18 (1999), Number 3
*/
class HCSmoothInfo
{
public:
CoordType dif;
CoordType sum;
int cnt;
};
static void VertexCoordLaplacianHC(MeshType &m, int step, bool SmoothSelected=false )
{
ScalarType beta=0.5;
HCSmoothInfo lpz;
lpz.sum=CoordType(0,0,0);
lpz.dif=CoordType(0,0,0);
lpz.cnt=0;
SimpleTempData<typename MeshType::VertContainer,HCSmoothInfo > TD(m.vert,lpz);
// First Loop compute the laplacian
FaceIterator fi;
for(fi=m.face.begin();fi!=m.face.end();++fi)if(!(*fi).IsD())
{
for(int j=0;j<3;++j)
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->P();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->P();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
// se l'edge j e' di bordo si deve sommare due volte
if((*fi).IsB(j))
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->P();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->P();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
}
}
VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi) if(!(*vi).IsD())
TD[*vi].sum/=(float)TD[*vi].cnt;
// Second Loop compute average difference
for(fi=m.face.begin();fi!=m.face.end();++fi) if(!(*fi).IsD())
{
for(int j=0;j<3;++j)
{
TD[(*fi).V(j)].dif +=TD[(*fi).V1(j)].sum-(*fi).V1(j)->P();
TD[(*fi).V1(j)].dif+=TD[(*fi).V(j)].sum-(*fi).V(j)->P();
// se l'edge j e' di bordo si deve sommare due volte
if((*fi).IsB(j))
{
TD[(*fi).V(j)].dif +=TD[(*fi).V1(j)].sum-(*fi).V1(j)->P();
TD[(*fi).V1(j)].dif+=TD[(*fi).V(j)].sum-(*fi).V(j)->P();
}
}
}
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
{
TD[*vi].dif/=(float)TD[*vi].cnt;
if(!SmoothSelected || (*vi).IsS())
(*vi).P()= TD[*vi].sum - (TD[*vi].sum - (*vi).P())*beta + (TD[*vi].dif)*(1.f-beta);
}
};
// Laplacian smooth of the quality.
class ColorSmoothInfo
{
public:
unsigned int r;
unsigned int g;
unsigned int b;
unsigned int a;
int cnt;
};
static void VertexColorLaplacian(MeshType &m, int step, bool SmoothSelected=false, vcg::CallBackPos * cb=0)
{
ColorSmoothInfo csi;
csi.r=0; csi.g=0; csi.b=0; csi.cnt=0;
SimpleTempData<typename MeshType::VertContainer, ColorSmoothInfo> TD(m.vert,csi);
for(int i=0;i<step;++i)
{
if(cb) cb(100*i/step, "Vertex Color Laplacian Smoothing");
VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
TD[*vi]=csi;
FaceIterator fi;
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if(!(*fi).IsB(j))
{
TD[(*fi).V(j)].r+=(*fi).V1(j)->C()[0];
TD[(*fi).V(j)].g+=(*fi).V1(j)->C()[1];
TD[(*fi).V(j)].b+=(*fi).V1(j)->C()[2];
TD[(*fi).V(j)].a+=(*fi).V1(j)->C()[3];
TD[(*fi).V1(j)].r+=(*fi).V(j)->C()[0];
TD[(*fi).V1(j)].g+=(*fi).V(j)->C()[1];
TD[(*fi).V1(j)].b+=(*fi).V(j)->C()[2];
TD[(*fi).V1(j)].a+=(*fi).V(j)->C()[3];
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
// si azzaera i dati per i vertici di bordo
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V(j)]=csi;
TD[(*fi).V1(j)]=csi;
}
// se l'edge j e' di bordo si deve mediare solo con gli adiacenti
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V(j)].r+=(*fi).V1(j)->C()[0];
TD[(*fi).V(j)].g+=(*fi).V1(j)->C()[1];
TD[(*fi).V(j)].b+=(*fi).V1(j)->C()[2];
TD[(*fi).V(j)].a+=(*fi).V1(j)->C()[3];
TD[(*fi).V1(j)].r+=(*fi).V(j)->C()[0];
TD[(*fi).V1(j)].g+=(*fi).V(j)->C()[1];
TD[(*fi).V1(j)].b+=(*fi).V(j)->C()[2];
TD[(*fi).V1(j)].a+=(*fi).V(j)->C()[3];
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
if(!SmoothSelected || (*vi).IsS())
{
(*vi).C()[0] = (unsigned int) ceil((double) (TD[*vi].r / TD[*vi].cnt));
(*vi).C()[1] = (unsigned int) ceil((double) (TD[*vi].g / TD[*vi].cnt));
(*vi).C()[2] = (unsigned int) ceil((double) (TD[*vi].b / TD[*vi].cnt));
(*vi).C()[3] = (unsigned int) ceil((double) (TD[*vi].a / TD[*vi].cnt));
}
} // end for step
};
static void FaceColorLaplacian(MeshType &m, int step, bool SmoothSelected=false, vcg::CallBackPos * cb=0)
{
ColorSmoothInfo csi;
csi.r=0; csi.g=0; csi.b=0; csi.cnt=0;
SimpleTempData<typename MeshType::FaceContainer, ColorSmoothInfo> TD(m.face,csi);
for(int i=0;i<step;++i)
{
if(cb) cb(100*i/step, "Face Color Laplacian Smoothing");
FaceIterator fi;
for(fi=m.face.begin();fi!=m.face.end();++fi)
TD[*fi]=csi;
for(fi=m.face.begin();fi!=m.face.end();++fi)
{
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if(!(*fi).IsB(j))
{
TD[*fi].r+=(*fi).FFp(j)->C()[0];
TD[*fi].g+=(*fi).FFp(j)->C()[1];
TD[*fi].b+=(*fi).FFp(j)->C()[2];
TD[*fi].a+=(*fi).FFp(j)->C()[3];
++TD[*fi].cnt;
}
}
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD() && TD[*fi].cnt>0 )
if(!SmoothSelected || (*fi).IsS())
{
(*fi).C()[0] = (unsigned int) ceil((float) (TD[*fi].r / TD[*fi].cnt));
(*fi).C()[1] = (unsigned int) ceil((float) (TD[*fi].g / TD[*fi].cnt));
(*fi).C()[2] = (unsigned int) ceil((float) (TD[*fi].b / TD[*fi].cnt));
(*fi).C()[3] = (unsigned int) ceil((float) (TD[*fi].a / TD[*fi].cnt));
}
} // end for step
};
// Laplacian smooth of the quality.
class QualitySmoothInfo
{
public:
ScalarType sum;
int cnt;
};
static void VertexQualityLaplacian(MeshType &m, int step=1, bool SmoothSelected=false)
{
QualitySmoothInfo lpz;
lpz.sum=0;
lpz.cnt=0;
SimpleTempData<typename MeshType::VertContainer,QualitySmoothInfo> TD(m.vert,lpz);
//TD.Start(lpz);
for(int i=0;i<step;++i)
{
VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
TD[*vi]=lpz;
FaceIterator fi;
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if(!(*fi).IsB(j))
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->Q();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->Q();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
// si azzaera i dati per i vertici di bordo
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V(j)]=lpz;
TD[(*fi).V1(j)]=lpz;
}
// se l'edge j e' di bordo si deve mediare solo con gli adiacenti
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->Q();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->Q();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
//VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
if(!SmoothSelected || (*vi).IsS())
(*vi).Q()=TD[*vi].sum/TD[*vi].cnt;
}
//TD.Stop();
};
static void VertexNormalLaplacian(MeshType &m, int step,bool SmoothSelected=false)
{
SimpleTempData<typename MeshType::VertContainer,LaplacianInfo > TD(m.vert);
LaplacianInfo lpz;
lpz.sum=CoordType(0,0,0);
lpz.cnt=0;
TD.Start(lpz);
for(int i=0;i<step;++i)
{
VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
TD[*vi]=lpz;
FaceIterator fi;
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if(!(*fi).IsB(j))
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->N();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->N();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
// si azzaera i dati per i vertici di bordo
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V(j)]=lpz;
TD[(*fi).V1(j)]=lpz;
}
// se l'edge j e' di bordo si deve mediare solo con gli adiacenti
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->N();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->N();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
//VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
if(!SmoothSelected || (*vi).IsS())
(*vi).N()=TD[*vi].sum/TD[*vi].cnt;
}
TD.Stop();
};
// Smooth solo lungo la direzione di vista
// alpha e' compreso fra 0(no smoot) e 1 (tutto smoot)
// Nota che se smootare il bordo puo far fare bandierine.
static void VertexCoordViewDepth(MeshType &m,
const CoordType & viewpoint,
const ScalarType alpha,
int step, bool SmoothBorder=false )
{
SimpleTempData<typename MeshType::VertContainer,LaplacianInfo > TD(m.vert);
LaplacianInfo lpz;
lpz.sum=CoordType(0,0,0);
lpz.cnt=0;
TD.Start(lpz);
for(int i=0;i<step;++i)
{
VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
TD[*vi]=lpz;
FaceIterator fi;
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if(!(*fi).IsB(j))
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->Supervisor_P();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->Supervisor_P();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
// si azzaera i dati per i vertici di bordo
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V(j)]=lpz;
TD[(*fi).V1(j)]=lpz;
}
// se l'edge j e' di bordo si deve mediare solo con gli adiacenti
if(SmoothBorder)
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!(*fi).IsD())
for(int j=0;j<3;++j)
if((*fi).IsB(j))
{
TD[(*fi).V(j)].sum+=(*fi).V1(j)->Supervisor_P();
TD[(*fi).V1(j)].sum+=(*fi).V(j)->Supervisor_P();
++TD[(*fi).V(j)].cnt;
++TD[(*fi).V1(j)].cnt;
}
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if(!(*vi).IsD() && TD[*vi].cnt>0 )
{
CoordType np = TD[*vi].sum/TD[*vi].cnt;
CoordType d = (*vi).Supervisor_P() - viewpoint; d.Normalize();
ScalarType s = d * ( np - (*vi).Supervisor_P() );
(*vi).Supervisor_P() += d * (s*alpha);
}
}
TD.Stop();
}
/****************************************************************************************************************/
/****************************************************************************************************************/
// Paso Double Smoothing
// The proposed
// approach is a two step method where in the first step the face normals
// are adjusted and then, in a second phase, the vertex positions are updated.
/****************************************************************************************************************/
/****************************************************************************************************************/
// Classi di info
class PDVertInfo
{
public:
CoordType np;
};
class PDFaceInfo
{
public:
CoordType m;
};
/***************************************************************************/
// Paso Doble Step 1 compute the smoothed normals
/***************************************************************************/
// Requirements:
// VF Topology
// Normalized Face Normals
//
// This is the Normal Smoothing approach of Shen and Berner
// Fuzzy Vector Median-Based Surface Smoothing TVCG 2004
void FaceNormalFuzzyVectorSB(MeshType &m,
SimpleTempData<typename MeshType::FaceContainer,PDFaceInfo > &TD,
ScalarType sigma)
{
int i;
FaceIterator fi;
for(fi=m.face.begin();fi!=m.face.end();++fi)
{
CoordType bc=(*fi).Barycenter();
// 1) Clear all the visited flag of faces that are vertex-adjacent to fi
for(i=0;i<3;++i)
{
vcg::face::VFIterator<FaceType> ep(&*fi,i);
while (!ep.End())
{
ep.f->ClearV();
++ep;
}
}
// 1) Effectively average the normals weighting them with
(*fi).SetV();
CoordType mm=CoordType(0,0,0);
for(i=0;i<3;++i)
{
vcg::face::VFIterator<FaceType> ep(&*fi,i);
while (!ep.End())
{
if(! (*ep.f).IsV() )
{
if(sigma>0)
{
ScalarType dd=SquaredDistance(ep.f->Barycenter(),bc);
ScalarType ang=AngleN(ep.f->N(),(*fi).N());
mm+=ep.f->N()*exp((-sigma)*ang*ang/dd);
}
else mm+=ep.f->N();
(*ep.f).SetV();
}
++ep;
}
}
mm.Normalize();
TD[*fi].m=mm;
}
}
// Replace the normal of the face with the average of normals of the vertex adijacent faces.
// Normals are weighted with face area.
// It assumes that:
// Normals are normalized:
// VF adjacency is present.
static void FaceNormalLaplacianVF(MeshType &m)
{
SimpleTempData<typename MeshType::FaceContainer, PDFaceInfo> TDF(m.face);
PDFaceInfo lpzf;
lpzf.m=CoordType(0,0,0);
assert(tri::HasVFAdjacency(m));
TDF.Start(lpzf);
int i;
FaceIterator fi;
tri::UpdateNormals<MeshType>::AreaNormalizeFace(m);
for(fi=m.face.begin();fi!=m.face.end();++fi) if(!(*fi).IsD())
{
CoordType bc=Barycenter<FaceType>(*fi);
// 1) Clear all the visited flag of faces that are vertex-adjacent to fi
for(i=0;i<3;++i)
{
VFLocalIterator ep(&*fi,i);
for (;!ep.End();++ep)
ep.f->ClearV();
}
// 2) Effectively average the normals
CoordType normalSum=(*fi).N();
for(i=0;i<3;++i)
{
VFLocalIterator ep(&*fi,i);
for (;!ep.End();++ep)
{
if(! (*ep.f).IsV() )
{
normalSum += ep.f->N();
(*ep.f).SetV();
}
}
}
normalSum.Normalize();
TDF[*fi].m=normalSum;
}
for(fi=m.face.begin();fi!=m.face.end();++fi)
(*fi).N()=TDF[*fi].m;
tri::UpdateNormals<MeshType>::NormalizeFace(m);
TDF.Stop();
}
// Replace the normal of the face with the average of normals of the face adijacent faces.
// Normals are weighted with face area.
// It assumes that:
// Normals are normalized:
// FF adjacency is present.
static void FaceNormalLaplacianFF(MeshType &m, int step=1, bool SmoothSelected=false )
{
PDFaceInfo lpzf;
lpzf.m=CoordType(0,0,0);
SimpleTempData<typename MeshType::FaceContainer, PDFaceInfo> TDF(m.face,lpzf);
assert(tri::HasFFAdjacency(m));
FaceIterator fi;
tri::UpdateNormals<MeshType>::AreaNormalizeFace(m);
for(int i=0;i<step;++i)
{
for(fi=m.face.begin();fi!=m.face.end();++fi) if(!(*fi).IsD())
{
CoordType normalSum=(*fi).N();
for(i=0;i<3;++i)
normalSum+=(*fi).FFp(i)->N();
TDF[*fi].m=normalSum;
}
for(fi=m.face.begin();fi!=m.face.end();++fi)
if(!SmoothSelected || (*fi).IsS())
(*fi).N()=TDF[*fi].m;
tri::UpdateNormals<MeshType>::NormalizeFace(m);
}
}
/***************************************************************************/
// Paso Doble Step 1 compute the smoothed normals
/***************************************************************************/
// Requirements:
// VF Topology
// Normalized Face Normals
//
// This is the Normal Smoothing approach bsased on a angle thresholded weighting
// sigma is in the 0 .. 1 range, it represent the cosine of a threshold angle.
// sigma == 0 All the normals are averaged
// sigma == 1 Nothing is averaged.
// Only within the specified range are averaged toghether. The averagin is weighted with the
static void FaceNormalAngleThreshold(MeshType &m,
SimpleTempData<typename MeshType::FaceContainer,PDFaceInfo> &TD,
ScalarType sigma)
{
int i;
FaceIterator fi;
for(fi=m.face.begin();fi!=m.face.end();++fi) if(!(*fi).IsD())
{
CoordType bc=Barycenter<FaceType>(*fi);
// 1) Clear all the visited flag of faces that are vertex-adjacent to fi
for(i=0;i<3;++i)
{
VFLocalIterator ep(&*fi,i);
for (;!ep.End();++ep)
ep.f->ClearV();
}
// 1) Effectively average the normals weighting them with the squared difference of the angle similarity
// sigma is the cosine of a threshold angle. sigma \in 0..1
// sigma == 0 All the normals are averaged
// sigma == 1 Nothing is averaged.
// The averaging is weighted with the difference between normals. more similar the normal more important they are.
CoordType normalSum=CoordType(0,0,0);
for(i=0;i<3;++i)
{
VFLocalIterator ep(&*fi,i);
for (;!ep.End();++ep)
{
if(! (*ep.f).IsV() )
{
ScalarType cosang=ep.f->N()*(*fi).N();
if(cosang >= sigma)
{
ScalarType w = cosang-sigma;
normalSum += ep.f->N()*(w*w); // similar normals have a cosang very close to 1 so cosang - sigma is maximized
}
(*ep.f).SetV();
}
}
}
normalSum.Normalize();
TD[*fi].m=normalSum;
}
for(fi=m.face.begin();fi!=m.face.end();++fi)
(*fi).N()=TD[*fi].m;
}
/****************************************************************************************************************/
// Restituisce il gradiente dell'area del triangolo nel punto p.
// Nota che dovrebbe essere sempre un vettore che giace nel piano del triangolo e perpendicolare al lato opposto al vertice p.
// Ottimizzato con Maple e poi pesantemente a mano.
CoordType TriAreaGradient(CoordType &p,CoordType &p0,CoordType &p1)
{
CoordType dd = p1-p0;
CoordType d0 = p-p0;
CoordType d1 = p-p1;
CoordType grad;
ScalarType t16 = d0[1]* d1[2] - d0[2]* d1[1];
ScalarType t5 = -d0[2]* d1[0] + d0[0]* d1[2];
ScalarType t4 = -d0[0]* d1[1] + d0[1]* d1[0];
ScalarType delta= sqrtf(t4*t4 + t5*t5 +t16*t16);
grad[0]= (t5 * (-dd[2]) + t4 * ( dd[1]))/delta;
grad[1]= (t16 * (-dd[2]) + t4 * (-dd[0]))/delta;
grad[2]= (t16 * ( dd[1]) + t5 * ( dd[0]))/delta;
return grad;
}
template <class ScalarType>
CoordType CrossProdGradient(CoordType &p, CoordType &p0, CoordType &p1, CoordType &m)
{
CoordType grad;
CoordType p00=p0-p;
CoordType p01=p1-p;
grad[0] = (-p00[2] + p01[2])*m[1] + (-p01[1] + p00[1])*m[2];
grad[1] = (-p01[2] + p00[2])*m[0] + (-p00[0] + p01[0])*m[2];
grad[2] = (-p00[1] + p01[1])*m[0] + (-p01[0] + p00[0])*m[1];
return grad;
}
/*
Deve Calcolare il gradiente di
E(p) = A(p,p0,p1) (n - m)^2 =
A(...) (2-2nm) =
(p0-p)^(p1-p)
2A - 2A * ------------- m =
2A
2A - 2 (p0-p)^(p1-p) * m
*/
CoordType FaceErrorGrad(CoordType &p,CoordType &p0,CoordType &p1, CoordType &m)
{
return TriAreaGradient(p,p0,p1) *2.0f
- CrossProdGradient(p,p0,p1,m) *2.0f ;
}
/***************************************************************************/
// Paso Doble Step 2 Fitta la mesh a un dato insieme di normali
/***************************************************************************/
void FitMesh(MeshType &m,
SimpleTempData<typename MeshType::VertContainer, PDVertInfo> &TDV,
SimpleTempData<typename MeshType::FaceContainer, PDFaceInfo> &TDF,
float lambda)
{
//vcg::face::Pos<FaceType> ep;
vcg::face::VFIterator<FaceType> ep;
VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
{
CoordType ErrGrad=CoordType(0,0,0);
ep.f=(*vi).VFp();
ep.z=(*vi).VFi();
while (!ep.End())
{
ErrGrad+=FaceErrorGrad(ep.f->V(ep.z)->P(),ep.f->V1(ep.z)->P(),ep.f->V2(ep.z)->P(),TDF[ep.f].m);
++ep;
}
TDV[*vi].np=(*vi).P()-ErrGrad*(ScalarType)lambda;
}
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
(*vi).P()=TDV[*vi].np;
}
/****************************************************************************************************************/
static void FastFitMesh(MeshType &m,
SimpleTempData<typename MeshType::VertContainer, PDVertInfo> &TDV,
SimpleTempData<typename MeshType::FaceContainer, PDFaceInfo> &TDF,
bool OnlySelected=false)
{
//vcg::face::Pos<FaceType> ep;
vcg::face::VFIterator<FaceType> ep;
VertexIterator vi;
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
{
CoordType Sum(0,0,0);
ScalarType cnt=0;
VFLocalIterator ep(&*vi);
for (;!ep.End();++ep)
{
CoordType bc=Barycenter<FaceType>(*ep.F());
Sum += ep.F()->N()*(ep.F()->N()*(bc - (*vi).P()));
++cnt;
}
TDV[*vi].np=(*vi).P()+ Sum*(1.0/cnt);
}
if(OnlySelected)
{
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
if((*vi).IsS()) (*vi).P()=TDV[*vi].np;
}
else
{
for(vi=m.vert.begin();vi!=m.vert.end();++vi)
(*vi).P()=TDV[*vi].np;
}
}
static void VertexCoordPasoDoble(MeshType &m, int step, typename MeshType::ScalarType Sigma=0, int FitStep=10, typename MeshType::ScalarType FitLambda=0.05)
{
SimpleTempData< typename MeshType::VertContainer, PDVertInfo> TDV(m.vert);
SimpleTempData< typename MeshType::FaceContainer, PDFaceInfo> TDF(m.face);
PDVertInfo lpzv;
lpzv.np=CoordType(0,0,0);
PDFaceInfo lpzf;
lpzf.m=CoordType(0,0,0);
assert(m.HasVFTopology());
m.HasVFTopology();
TDV.Start(lpzv);
TDF.Start(lpzf);
for(int j=0;j<step;++j)
{
vcg::tri::UpdateNormals<MeshType>::PerFace(m);
FaceNormalAngleThreshold(m,TDF,Sigma);
for(int k=0;k<FitStep;k++)
FitMesh(m,TDV,TDF,FitLambda);
}
TDF.Stop();
TDV.Stop();
}
// The sigma parameter affect the normal smoothing step
static void VertexCoordPasoDobleFast(MeshType &m, int step, typename MeshType::ScalarType Sigma=0, int FitStep=50, bool SmoothSelected =false)
{
PDVertInfo lpzv;
lpzv.np=CoordType(0,0,0);
PDFaceInfo lpzf;
lpzf.m=CoordType(0,0,0);
assert(m.HasVFTopology());
m.HasVFTopology();
SimpleTempData< typename MeshType::VertContainer, PDVertInfo> TDV(m.vert,lpzv);
SimpleTempData< typename MeshType::FaceContainer, PDFaceInfo> TDF(m.face,lpzf);
for(int j=0;j<step;++j)
FaceNormalAngleThreshold(m,TDF,Sigma);
for(int j=0;j<FitStep;++j)
FastFitMesh(m,TDV,TDF,SmoothSelected);
}
}; //end Smooth class
} // End namespace tri
} // End namespace vcg
#endif // VCG_SMOOTH
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