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{
fPoints[i].x-=float(x);
fPoints[i].y-=float(y);
fPoints[i].z-=float(z);
}
}
void ActiveMesh::ScaleMesh(const Vector3F& scale)
{
for (unsigned int i=0; i < Pos.size(); ++i)
{
Pos[i].x*=scale.x;
Pos[i].y*=scale.y;
Pos[i].z*=scale.z;
}
}
void ActiveMesh::TranslateMesh(const Vector3F& shift)
{
for (unsigned int i=0; i < Pos.size(); ++i)
{
Pos[i].x+=shift.x;
Pos[i].y+=shift.y;
Pos[i].z+=shift.z;
}
}
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// ============== surface fitting ==============
int ActiveMesh::CalcQuadricSurface_Taubin(const int vertexID,
float (&coeffs)[10])
{
//determine some reasonable number of nearest neighbors
std::vector< std::vector<size_t> > neigsLeveled;
ulm::getVertexNeighbours(*this,vertexID,2,neigsLeveled);
//make it flat...
std::vector<size_t> neigs;
for (unsigned int l=0; l < neigsLeveled.size(); ++l)
for (unsigned int i=0; i < neigsLeveled[l].size(); ++i)
neigs.push_back(neigsLeveled[l][i]);
neigsLeveled.clear();
//V be the vector of [x,y,z] combinations, a counterpart to coeffs
float V[10],V1[10],V2[10],V3[10];
//M be the matrix holding initially sum of (square matrices) V*V'
//N is similar, just a sum of three different Vs is used
float M[100],N[100];
for (int i=0; i < 100; ++i) M[i]=N[i]=0.f;
//over all neighbors (including the centre vertex itself),
//
//this order garuantees that array V will be relevant for input
//vertexID after the cycles are over -- will become handy later
for (signed int n=(int)neigs.size()-1; n >= 0; --n)
{
//shortcut to the current point
const Vector3FC& v=Pos[neigs[n]];
//get Vs for the given point 'v'
V[0]=1.f; V1[0]=0.f; V2[0]=0.f; V3[0]=0.f;
V[1]=v.x; V1[1]=1.f; V2[1]=0.f; V3[1]=0.f;
V[2]=v.y; V1[2]=0.f; V2[2]=1.f; V3[2]=0.f;
V[3]=v.z; V1[3]=0.f; V2[3]=0.f; V3[3]=1.f;
V[4]=v.x*v.y; V1[4]=v.y; V2[4]=v.x; V3[4]=0.f;
V[5]=v.x*v.z; V1[5]=v.z; V2[5]=0.f; V3[5]=v.x;
V[6]=v.y*v.z; V1[6]=0.f; V2[6]=v.z; V3[6]=v.y;
V[7]=v.x*v.x; V1[7]=2.f*v.x; V2[7]=0.f; V3[7]=0.f;
V[8]=v.y*v.y; V1[8]=0.f; V2[8]=2.f*v.y; V3[8]=0.f;
V[9]=v.z*v.z; V1[9]=0.f; V2[9]=0.f; V3[9]=2.f*v.z;
//construct V*V' and add it to M and N
for (int j=0; j < 9; ++j) //for column
for (int i=0; i < 9; ++i) //for row; note the order optimal for Fortran
{
//C order (row-major): M_i,j -> M[i][j] -> &M +i*STRIDE +j
//Lapack/Fortran order (column-major): M_i,j -> M[i][j] -> &M +j*STRIDE +i
//const int off=i*10 +j; //C
const int off=j*9 +i; //Fortran
M[off]+= V[j+1]* V[i+1];
N[off]+=V1[j+1]*V1[i+1];
N[off]+=V2[j+1]*V2[i+1];
N[off]+=V3[j+1]*V3[i+1];
}
}
//now, solve the generalized eigenvector of the matrix pair (M,N):
//MC = nNC
//
//M,N are (reduced) 9x9 matrices constructed above,
//C is vector (infact, the coeff), n is scalar Lagrange multiplier
//
//if M,N were (full-size) 10x10 matrices, the N would be singular
//as the 1st row would contain only zeros,
//it is therefore reduced to 9x9 sacrifing the first row
//
//according to netlib (Lapack) docs, http://www.netlib.org/lapack/lug/node34.html
//type 1, Az=lBz -- A=M, B=N, z=C
//function: SSYGV
lapack_int itype=1;
char jobz='V';
char uplo='U';
lapack_int n=9;
float w[10];
float work[512];
lapack_int lwork=512;
lapack_int info;
LAPACK_ssygv(&itype,&jobz,&uplo,&n,M,&n,N,&n,w,work,&lwork,&info);
std::cout << "vertices considered: " << neigs.size() << "\n";
std::cout << "info=" << info << " (0 is OK)\n";
std::cout << "work(1)=" << work[0] << " (should be below 512)\n";
//if some error, report it to the caller
if (info != 0) return info;
//M is now matrix of eigenvectors
//it should hold (according to Lapack docs):
//Z^T N Z = I where Z is one eigenvector, I is identity matrix
//
//w holds eigenvalues in ascending order
//our result c[1]...c[9] is the eigenvector
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//corresponding to the smallest non-negative eigenvalue, so the j-th eigenvector
int j=0;
while (j < 9 && w[j] < 0.f) ++j;
//have we found some non-negative eigenvalue?
if (j == 9) return(-9999);
//also:
//the last missing coefficient c[0] we will determine by submitting
//the given input vertex to the algebraic expresion of the surface
//(given with coeffs) and equating it to zero:
coeffs[0]=0.f;
for (int i=0; i < 9; ++i)
{
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coeffs[i+1]=M[j*9 +i]; //copy eigenvector
coeffs[0]-=coeffs[i+1]*V[i+1]; //determine c[0]
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std::cout << "w(j)=" << w[j] << ", j=" << j << "\n";
bool ActiveMesh::GetPointOnQuadricSurface(const float x,const float y,
float &z1, float &z2,
const float (&coeffs)[10])
{
const float a=coeffs[9];
const float b=coeffs[3] +coeffs[5]*x +coeffs[6]*y;
const float c=coeffs[0] +coeffs[1]*x +coeffs[2]*y
+coeffs[4]*x*y +coeffs[7]*x*x +coeffs[8]*y*y;
const float sqArg=b*b - 4*a*c;
if (sqArg < 0.f) return false;
if (a == 0.f) return false;
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z1=(-b + sqrtf(sqArg)) / (2.f*a);
z2=(-b - sqrtf(sqArg)) / (2.f*a);
return true;
}
float ActiveMesh::GetClosestPointOnQuadricSurface(Vector3F& point,
const float (&coeffs)[10])
{
//backup original input coordinate
const float x=point.x;
const float y=point.y;
const float z=point.z;
float tmp1,tmp2;
//list of possible coordinates
std::vector<Vector3F> pointAdepts;
//took a pair of coordinates, calculate the third one
//and make it an adept...
if (GetPointOnQuadricSurface(x,y,tmp1,tmp2,coeffs))
{
pointAdepts.push_back(Vector3F(x,y,tmp1));
pointAdepts.push_back(Vector3F(x,y,tmp2));
}
if (GetPointOnQuadricSurface(x,z,tmp1,tmp2,coeffs))
{
pointAdepts.push_back(Vector3F(x,tmp1,z));
pointAdepts.push_back(Vector3F(x,tmp2,z));
}
if (GetPointOnQuadricSurface(y,z,tmp1,tmp2,coeffs))
{
pointAdepts.push_back(Vector3F(tmp1,y,z));
pointAdepts.push_back(Vector3F(tmp2,y,z));
}
//are we doomed?
if (pointAdepts.size() == 0)
return (-999999.f);
//find the closest
int closestIndex=ChooseClosestPoint(pointAdepts,point);
//calc distance to it
point-=pointAdepts[closestIndex];
tmp1=point.Len();
//adjust the input/output point
point=pointAdepts[closestIndex];
return (tmp1);
}
int ActiveMesh::ChooseClosestPoint(const std::vector<Vector3F>& points,
const Vector3F& point)
{
int minIndex=-1;
float minSqDist=9999999999999.f;
Vector3F p;
for (unsigned int i=0; i < points.size(); ++i)
{
p=point;
p-=points[i];
if (p.LenQ() < minSqDist)
{
minIndex=i;
minSqDist=p.LenQ();
}
}
return minIndex;
}
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void ActiveMesh::InitDots(const i3d::Image3d<i3d::GRAY16>& mask)
{
i3d::Image3d<float> dt;
i3d::GrayToFloat(mask,dt);
i3d::EDM(dt,0,100.f,false);
#ifdef SAVE_INTERMEDIATE_IMAGES
dt.SaveImage("1_DTAlone.ics");
#endif
i3d::Image3d<float> perlinInner,perlinOutside;
perlinInner.CopyMetaData(mask);
DoPerlin3D(perlinInner,5.0,0.8*1.5,0.7*1.5,6);
#ifdef SAVE_INTERMEDIATE_IMAGES
perlinInner.SaveImage("2_PerlinAlone_Inner.ics");
#endif
perlinOutside.CopyMetaData(mask);
DoPerlin3D(perlinOutside,2.,0.8*1.5,0.7*1.5,6);
#ifdef SAVE_INTERMEDIATE_IMAGES
perlinOutside.SaveImage("2_PerlinAlone_Outside.ics");
#endif
i3d::Image3d<i3d::GRAY16> erroded;
i3d::ErosionO(mask,erroded,1);
//initial object intensity levels
float* p=dt.GetFirstVoxelAddr();
float* const pL=p+dt.GetImageSize();
const float* pI=perlinInner.GetFirstVoxelAddr();
const float* pO=perlinOutside.GetFirstVoxelAddr();
const i3d::GRAY16* er=erroded.GetFirstVoxelAddr();
while (p != pL)
{
//are we within the mask?
if (*p > 0.f)
{
//close to the surface?
if (*p < 0.3f || *er == 0) *p=2000.f + 5000.f*(*pO); //corona
else *p=500.f + 800.f*(*pI); //inside
if (*er == 0) *p=2000.f; //std::max(*p,2000.f); //corona
if (*p < 0.f) *p=0.f;
}
++p; ++pI; ++pO; ++er;
}
#ifdef SAVE_INTERMEDIATE_IMAGES
dt.SaveImage("3_texture.ics");
#endif
perlinInner.DisposeData();
perlinOutside.DisposeData();
erroded.DisposeData();
//now, read the "molecules"
dots.clear();
dots.reserve(1<<23);
//time savers...
const float xRes=mask.GetResolution().GetX();
const float yRes=mask.GetResolution().GetY();
const float zRes=mask.GetResolution().GetZ();
const float xOff=mask.GetOffset().x;
const float yOff=mask.GetOffset().y;
const float zOff=mask.GetOffset().z;
p=dt.GetFirstVoxelAddr();
for (int z=0; z < (signed)dt.GetSizeZ(); ++z)
for (int y=0; y < (signed)dt.GetSizeY(); ++y)
for (int x=0; x < (signed)dt.GetSizeX(); ++x, ++p)
for (int v=0; v < *p; v+=50)
{
//convert px coords into um
const float X=(float)x/xRes + xOff;
const float Y=(float)y/yRes + yOff;
const float Z=(float)z/zRes + zOff;
dots.push_back(Vector3F(X,Y,Z));
/*
if (dots.size() == dots.capacity())
{
std::cout << "reserving more at position: " << x << "," << y << "," << z << "\n";
dots.reserve(dots.size()+(1<<20));
}
*/
}
#ifdef SAVE_INTERMEDIATE_IMAGES
std::cout << "intiated " << dots.size() << " fl. molecules (capacity is for "
<< dots.capacity() << ")\n";
#endif
}
void ActiveMesh::BrownDots(const i3d::Image3d<i3d::GRAY16>& mask)
{
//TODO REMOVE ME
for (size_t i=0; i < dots.size(); ++i)
dots[i].x+=1.0f;
}
void ActiveMesh::FFDots(const i3d::Image3d<i3d::GRAY16>& mask)
{
//TODO REMOVE ME
for (size_t i=0; i < dots.size(); ++i)
dots[i].y+=0.5f;
}
void ActiveMesh::RenderDots(const i3d::Image3d<i3d::GRAY16>& mask,
i3d::Image3d<i3d::GRAY16>& texture)
{
texture.CopyMetaData(mask);
texture.GetVoxelData()=0;
//time savers...
const float xRes=texture.GetResolution().GetX();
const float yRes=texture.GetResolution().GetY();
const float zRes=texture.GetResolution().GetZ();
const float xOff=texture.GetOffset().x;
const float yOff=texture.GetOffset().y;
const float zOff=texture.GetOffset().z;
//time-savers for boundary checking...
const int maxX=(int)texture.GetSizeX()-1;
const int maxY=(int)texture.GetSizeY()-1;
const int maxZ=(int)texture.GetSizeZ()-1;
//time-savers for accessing neigbors...
const size_t xLine=texture.GetSizeX();
const size_t Slice=texture.GetSizeY() *xLine;
i3d::GRAY16* const T=texture.GetFirstVoxelAddr();
//render the points into the texture image
for (size_t i=0; i < dots.size(); ++i)
{
const int x=(int)roundf( (dots[i].x-xOff) *xRes);
const int y=(int)roundf( (dots[i].y-yOff) *yRes);
const int z=(int)roundf( (dots[i].z-zOff) *zRes);
if ((x > 0) && (y > 0) && (z > 0)
&& (x < maxX) && (y < maxY) && (z < maxZ)) T[z*Slice +y*xLine +x]+=(i3d::GRAY16)50;
}
i3d::Image3d<float> dt;
i3d::GrayToFloat(texture,dt);
i3d::GaussIIR(dt,2.f,2.f,2.0f);
#ifdef SAVE_INTERMEDIATE_IMAGES
dt.SaveImage("4_texture_filtered.ics");
#endif
//downsample now:
float factor[3]={1.f,1.f,0.125f};
i3d::Image3d<float>* tmp=NULL;
i3d::lanczos_resample(&dt,tmp,factor,2);
#ifdef SAVE_INTERMEDIATE_IMAGES
tmp->SaveImage("5_texture_filtered_resampled.ics");
#endif
dt=*tmp;
delete tmp;
float* p=dt.GetFirstVoxelAddr();
for (int z=0; z < (signed)dt.GetSizeZ(); ++z)
for (int y=0; y < (signed)dt.GetSizeY(); ++y)
for (int x=0; x < (signed)dt.GetSizeX(); ++x, ++p)
{
//background signal:
float distSq=((float)x-110.f)*((float)x-110.f) + ((float)y-110.f)*((float)y-110.f);
*p+=100.f*expf(-0.5f * distSq / 900.f);
//uncertainty in the number of incoming photons
const float noiseMean = sqrtf(*p), // from statistics: shot noise = sqrt(signal)
noiseVar = noiseMean; // for Poisson distribution E(X) = D(X)
*p+=30.f*((float)GetRandomPoisson(noiseMean) - noiseVar);
//constants are parameters of Andor iXon camera provided from vendor:
//photon shot noise: dark current
*p+=(float)GetRandomPoisson(0.06f);
//read-out noise:
// variance up to 25.f (old camera on ILBIT)
// variance about 1.f (for the new camera on ILBIT)
*p+=GetRandomGauss(480.f,20.f);
//*p+=530.f;
}
#ifdef SAVE_INTERMEDIATE_IMAGES
dt.SaveImage("6_texture_filtered_resampled_finalized.ics");
#endif
//obtain final GRAY16 image
i3d::FloatToGrayNoWeight(dt,texture);
}