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openMVS.build/vcglib/vcg/math/matrix33.h

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/****************************************************************************
* VCGLib o o *
* Visual and Computer Graphics Library o o *
* _ O _ *
* Copyright(C) 2004-2016 \/)\/ *
* 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. *
* *
****************************************************************************/
#ifndef __VCGLIB_MATRIX33_H
#define __VCGLIB_MATRIX33_H
#include <stdio.h>
#include <vcg/math/matrix44.h>
#include <vcg/space/point3.h>
#include <vector>
namespace vcg {
template<class S>
/** @name Matrix33
Class Matrix33.
This is the class for definition of a matrix 3x3.
@param S (Template Parameter) Specifies the ScalarType field.
*/
class Matrix33
{
public:
typedef S ScalarType;
/// Default constructor
inline Matrix33() {}
/// Copy constructor
Matrix33( const Matrix33 & m )
{
for(int i=0;i<9;++i)
a[i] = m.a[i];
}
/// create from array
Matrix33( const S * v )
{
for(int i=0;i<9;++i) a[i] = v[i];
}
/// create from Matrix44 excluding row and column k
Matrix33 (const Matrix44<S> & m, const int & k)
{
int i,j, r=0, c=0;
for(i = 0; i< 4;++i)if(i!=k){c=0;
for(j=0; j < 4;++j)if(j!=k)
{ (*this)[r][c] = m[i][j]; ++c;}
++r;
}
}
template <class EigenMatrix33Type>
void ToEigenMatrix(EigenMatrix33Type & m) const {
for(int i = 0; i < 3; i++)
for(int j = 0; j < 3; j++)
m(i,j)=(*this)[i][j];
}
template <class EigenMatrix33Type>
EigenMatrix33Type ToEigenMatrix() const {
EigenMatrix33Type m;
for(int i = 0; i < 3; i++)
for(int j = 0; j < 3; j++)
m(i,j)=(*this)[i][j];
return m;
}
template <class EigenMatrix33Type>
void FromEigenMatrix(const EigenMatrix33Type & m){
for(int i = 0; i < 3; i++)
for(int j = 0; j < 3; j++)
(*this)[i][j]=m(i,j);
}
static inline const Matrix33 &Identity( )
{
static Matrix33<S> tmp; tmp.SetIdentity();
return tmp;
}
/// Number of columns
inline unsigned int ColumnsNumber() const
{
return 3;
};
/// Number of rows
inline unsigned int RowsNumber() const
{
return 3;
};
/// Assignment operator
Matrix33 & operator = ( const Matrix33 & m )
{
for(int i=0;i<9;++i)
a[i] = m.a[i];
return *this;
}
/// Indexing operator
inline S * operator [] ( const int i )
{
return a+i*3;
}
/// Const indexing operator
inline const S * operator [] ( const int i ) const
{
return a+i*3;
}
/// Modificatore somma per matrici 3x3
Matrix33 & operator += ( const Matrix33 &m )
{
for(int i=0;i<9;++i)
a[i] += m.a[i];
return *this;
}
/// Modificatore sottrazione per matrici 3x3
Matrix33 & operator -= ( const Matrix33 &m )
{
for(int i=0;i<9;++i)
a[i] -= m.a[i];
return *this;
}
/// Modificatore divisione per scalare
Matrix33 & operator /= ( const S &s )
{
for(int i=0;i<9;++i)
a[i] /= s;
return *this;
}
/// Modificatore prodotto per matrice
Matrix33 operator * ( const Matrix33< S> & t ) const
{
Matrix33<S> r;
int i,j;
for(i=0;i<3;++i)
for(j=0;j<3;++j)
r[i][j] = (*this)[i][0]*t[0][j] + (*this)[i][1]*t[1][j] + (*this)[i][2]*t[2][j];
return r;
}
/// Modificatore prodotto per matrice
void operator *=( const Matrix33< S> & t )
{
Matrix33<S> r;
int i,j;
for(i=0;i<3;++i)
for(j=0;j<3;++j)
r[i][j] = (*this)[i][0]*t[0][j] + (*this)[i][1]*t[1][j] + (*this)[i][2]*t[2][j];
for(i=0;i<9;++i) this->a[i] = r.a[i];
}
/// Modificatore prodotto per costante
Matrix33 & operator *= ( const S t )
{
for(int i=0;i<9;++i)
a[i] *= t;
return *this;
}
/// Operatore prodotto per costante
Matrix33 operator * ( const S t ) const
{
Matrix33<S> r;
for(int i=0;i<9;++i)
r.a[i] = a[i]* t;
return r;
}
/// Operatore sottrazione per matrici 3x3
Matrix33 operator - ( const Matrix33 &m ) const
{
Matrix33<S> r;
for(int i=0;i<9;++i)
r.a[i] = a[i] - m.a[i];
return r;
}
/// Operatore sottrazione per matrici 3x3
Matrix33 operator + ( const Matrix33 &m ) const
{
Matrix33<S> r;
for(int i=0;i<9;++i)
r.a[i] = a[i] + m.a[i];
return r;
}
/** Operatore per il prodotto matrice-vettore.
@param v A point in $R^{3}$
@return Il vettore risultante in $R^{3}$
*/
Point3<S> operator * ( const Point3<S> & v ) const
{
Point3<S> t;
t[0] = a[0]*v[0] + a[1]*v[1] + a[2]*v[2];
t[1] = a[3]*v[0] + a[4]*v[1] + a[5]*v[2];
t[2] = a[6]*v[0] + a[7]*v[1] + a[8]*v[2];
return t;
}
void OuterProduct(Point3<S> const &p0, Point3<S> const &p1) {
Point3<S> row;
row = p1*p0[0];
a[0] = row[0];a[1] = row[1];a[2] = row[2];
row = p1*p0[1];
a[3] = row[0]; a[4] = row[1]; a[5] = row[2];
row = p1*p0[2];
a[6] = row[0];a[7] = row[1];a[8] = row[2];
}
Matrix33 & SetZero() {
for(int i=0;i<9;++i) a[i] =0;
return (*this);
}
Matrix33 & SetIdentity() {
for(int i=0;i<9;++i) a[i] =0;
a[0]=a[4]=a[8]=1.0;
return (*this);
}
Matrix33 & SetRotateRad(S angle, const Point3<S> & axis )
{
S c = cos(angle);
S s = sin(angle);
S q = 1-c;
Point3<S> t = axis;
t.Normalize();
a[0] = t[0]*t[0]*q + c;
a[1] = t[0]*t[1]*q - t[2]*s;
a[2] = t[0]*t[2]*q + t[1]*s;
a[3] = t[1]*t[0]*q + t[2]*s;
a[4] = t[1]*t[1]*q + c;
a[5] = t[1]*t[2]*q - t[0]*s;
a[6] = t[2]*t[0]*q -t[1]*s;
a[7] = t[2]*t[1]*q +t[0]*s;
a[8] = t[2]*t[2]*q +c;
return (*this);
}
Matrix33 & SetRotateDeg(S angle, const Point3<S> & axis ){
return SetRotateRad(math::ToRad(angle),axis);
}
/// Funzione per eseguire la trasposta della matrice
Matrix33 & Transpose()
{
std::swap(a[1],a[3]);
std::swap(a[2],a[6]);
std::swap(a[5],a[7]);
return *this;
}
// for the transistion to eigen
Matrix33 transpose() const
{
Matrix33 res = *this;
res.Transpose();
return res;
}
void transposeInPlace() { this->Transpose(); }
/// Funzione per costruire una matrice diagonale dati i tre elem.
Matrix33 & SetDiagonal(S *v)
{int i,j;
for(i=0;i<3;i++)
for(j=0;j<3;j++)
if(i==j) (*this)[i][j] = v[i];
else (*this)[i][j] = 0;
return *this;
}
/// Assegna l'n-simo vettore colonna
void SetColumn(const int n, S* v){
assert( (n>=0) && (n<3) );
a[n]=v[0]; a[n+3]=v[1]; a[n+6]=v[2];
};
/// Assegna l'n-simo vettore riga
void SetRow(const int n, S* v){
assert( (n>=0) && (n<3) );
int m=n*3;
a[m]=v[0]; a[m+1]=v[1]; a[m+2]=v[2];
};
/// Assegna l'n-simo vettore colonna
void SetColumn(const int n, const Point3<S> v){
assert( (n>=0) && (n<3) );
a[n]=v[0]; a[n+3]=v[1]; a[n+6]=v[2];
};
/// Assegna l'n-simo vettore riga
void SetRow(const int n, const Point3<S> v){
assert( (n>=0) && (n<3) );
int m=n*3;
a[m]=v[0]; a[m+1]=v[1]; a[m+2]=v[2];
};
/// Restituisce l'n-simo vettore colonna
Point3<S> GetColumn(const int n) const {
assert( (n>=0) && (n<3) );
Point3<S> t;
t[0]=a[n]; t[1]=a[n+3]; t[2]=a[n+6];
return t;
};
/// Restituisce l'n-simo vettore riga
Point3<S> GetRow(const int n) const {
assert( (n>=0) && (n<3) );
Point3<S> t;
int m=n*3;
t[0]=a[m]; t[1]=a[m+1]; t[2]=a[m+2];
return t;
};
/// Funzione per il calcolo del determinante
S Determinant() const
{
return a[0]*(a[4]*a[8]-a[5]*a[7]) -
a[1]*(a[3]*a[8]-a[5]*a[6]) +
a[2]*(a[3]*a[7]-a[4]*a[6]) ;
}
// return the Trace of the matrix i.e. the sum of the diagonal elements
S Trace() const
{
return a[0]+a[4]+a[8];
}
/*
compute the matrix generated by the product of a * b^T
*/
void ExternalProduct(const Point3<S> &a, const Point3<S> &b)
{
for(int i=0;i<3;++i)
for(int j=0;j<3;++j)
(*this)[i][j] = a[i]*b[j];
}
/* Compute the Frobenius Norm of the Matrix
*/
ScalarType Norm()
{
ScalarType SQsum=0;
for(int i=0;i<9;++i)
SQsum += a[i]*a[i];
return (math::Sqrt(SQsum));
}
/*
It compute the covariance matrix of a set of 3d points. Returns the barycenter
*/
template <class STLPOINTCONTAINER >
void Covariance(const STLPOINTCONTAINER &points, Point3<S> &bp) {
assert(!points.empty());
typedef typename STLPOINTCONTAINER::const_iterator PointIte;
// first cycle: compute the barycenter
bp.SetZero();
for( PointIte pi = points.begin(); pi != points.end(); ++pi) bp+= (*pi);
bp/=points.size();
// second cycle: compute the covariance matrix
this->SetZero();
vcg::Matrix33<ScalarType> A;
for( PointIte pi = points.begin(); pi != points.end(); ++pi) {
Point3<S> p = (*pi)-bp;
A.OuterProduct(p,p);
(*this)+= A;
}
}
/*
It compute the cross covariance matrix of two set of 3d points P and X;
it returns also the barycenters of P and X.
fonte:
Besl, McKay
A method for registration o f 3d Shapes
IEEE TPAMI Vol 14, No 2 1992
*/
template <class STLPOINTCONTAINER >
void CrossCovariance(const STLPOINTCONTAINER &P, const STLPOINTCONTAINER &X,
Point3<S> &bp, Point3<S> &bx)
{
SetZero();
assert(P.size()==X.size());
bx.SetZero();
bp.SetZero();
Matrix33<S> tmp;
typename std::vector <Point3<S> >::const_iterator pi,xi;
for(pi=P.begin(),xi=X.begin();pi!=P.end();++pi,++xi){
bp+=*pi;
bx+=*xi;
tmp.ExternalProduct(*pi,*xi);
(*this)+=tmp;
}
bp/=P.size();
bx/=X.size();
(*this)/=P.size();
tmp.ExternalProduct(bp,bx);
(*this)-=tmp;
}
template <class STLPOINTCONTAINER, class STLREALCONTAINER>
void WeightedCrossCovariance(const STLREALCONTAINER & weights,
const STLPOINTCONTAINER &P,
const STLPOINTCONTAINER &X,
Point3<S> &bp,
Point3<S> &bx)
{
SetZero();
assert(P.size()==X.size());
bx.SetZero();
bp.SetZero();
Matrix33<S> tmp;
typename std::vector <Point3<S> >::const_iterator pi,xi;
typename STLREALCONTAINER::const_iterator pw;
for(pi=P.begin(),xi=X.begin();pi!=P.end();++pi,++xi){
bp+=(*pi);
bx+=(*xi);
}
bp/=P.size();
bx/=X.size();
for(pi=P.begin(),xi=X.begin(),pw = weights.begin();pi!=P.end();++pi,++xi,++pw){
tmp.ExternalProduct(((*pi)-(bp)),((*xi)-(bp)));
(*this)+=tmp*(*pw);
}
}
private:
S a[9];
};
///return the tranformation matrix to transform
///to the frame specified by the three vectors
template <class S>
vcg::Matrix33<S> TransformationMatrix(const vcg::Point3<S> dirX,
const vcg::Point3<S> dirY,
const vcg::Point3<S> dirZ)
{
vcg::Matrix33<S> Trans;
///it must have right orientation cause of normal
Trans[0][0]=dirX[0];
Trans[0][1]=dirX[1];
Trans[0][2]=dirX[2];
Trans[1][0]=dirY[0];
Trans[1][1]=dirY[1];
Trans[1][2]=dirY[2];
Trans[2][0]=dirZ[0];
Trans[2][1]=dirZ[1];
Trans[2][2]=dirZ[2];
/////then find the inverse
return (Trans);
}
template <class S>
Matrix33<S> Inverse(const Matrix33<S>&m)
{
Eigen::Matrix3d mm,mmi;
m.ToEigenMatrix(mm);
mmi=mm.inverse();
Matrix33<S> res;
res.FromEigenMatrix(mmi);
return res;
}
///given 2 vector centered into origin calculate the rotation matrix from first to the second
template <class S>
Matrix33<S> RotationMatrix(vcg::Point3<S> v0,vcg::Point3<S> v1,bool normalized=true)
{
typedef typename vcg::Point3<S> CoordType;
Matrix33<S> rotM;
const S epsilon=0.000000001;
if (!normalized)
{
v0.Normalize();
v1.Normalize();
}
S dot=(v0*v1);
///control if there is no rotation
if (dot>(S(1)-epsilon))
{
rotM.SetIdentity();
return rotM;
}
//find the axis of rotation
CoordType axis;
//if dot = -1 rotating to opposite vertex
//the problem is underdefined, so choose axis such that division is more stable
//alternative solution at http://cs.brown.edu/research/pubs/pdfs/1999/Moller-1999-EBA.pdf
if (dot < S(-1) + epsilon)
{
S max = std::numeric_limits<S>::lowest();
int maxInd = 0;
for (int i = 0; i < 3; ++i)
{
if (std::abs(v0[i]) > max)
{
max = v0[i];
maxInd = i;
}
}
axis[maxInd] = - (v0[(maxInd+2) % 3] / v0[maxInd]);
axis[(maxInd+1) % 3] = 0;
axis[(maxInd+2) % 3] = 1;
dot = S(-1);
}
else
{
axis=v0^v1;
}
axis.Normalize();
///construct rotation matrix
S u=axis.X();
S v=axis.Y();
S w=axis.Z();
S phi=acos(dot);
S rcos = cos(phi);
S rsin = sin(phi);
rotM[0][0] = rcos + u*u*(1-rcos);
rotM[1][0] = w * rsin + v*u*(1-rcos);
rotM[2][0] = -v * rsin + w*u*(1-rcos);
rotM[0][1] = -w * rsin + u*v*(1-rcos);
rotM[1][1] = rcos + v*v*(1-rcos);
rotM[2][1] = u * rsin + w*v*(1-rcos);
rotM[0][2] = v * rsin + u*w*(1-rcos);
rotM[1][2] = -u * rsin + v*w*(1-rcos);
rotM[2][2] = rcos + w*w*(1-rcos);
return rotM;
}
///return the rotation matrix along axis
template <class S>
Matrix33<S> RotationMatrix(const vcg::Point3<S> &axis,
const S &angleRad)
{
vcg::Matrix44<S> matr44;
matr44.SetRotateRad(angleRad,axis);
return vcg::Matrix33<S>(matr44, 3);
}
/// return a random rotation matrix, from the paper:
/// Fast Random Rotation Matrices, James Arvo
/// Graphics Gems III pp. 117-120
template <class S>
Matrix33<S> RandomRotation(){
S x1,x2,x3;
Matrix33<S> R,H,M,vv;
Point3<S> v;
R.SetIdentity();
H.SetIdentity();
x1 = rand()/S(RAND_MAX);
x2 = rand()/S(RAND_MAX);
x3 = rand()/S(RAND_MAX);
R[0][0] = cos(S(2)*M_PI*x1);
R[0][1] = sin(S(2)*M_PI*x1);
R[1][0] = - R[0][1];
R[1][1] = R[0][0];
v[0] = cos(2.0 * M_PI * x2)*sqrt(x3);
v[1] = sin(2.0 * M_PI * x2)*sqrt(x3);
v[2] = sqrt(1-x3);
vv.OuterProduct(v,v);
H -= vv*S(2);
M = H*R*S(-1);
return M;
}
///
typedef Matrix33<short> Matrix33s;
typedef Matrix33<int> Matrix33i;
typedef Matrix33<float> Matrix33f;
typedef Matrix33<double> Matrix33d;
} // end of namespace
#endif