/****************************************************************************
* 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 1.18  2007/04/19 14:30:26  pietroni
added RotationMatrix method to calculate rotation matrix along an axis

Revision 1.17  2007/04/07 23:06:47  pietroni
Added function RotationMatrix

Revision 1.16  2007/01/29 00:20:25  pietroni
-Used scalar type passed as template argument istead of double to prevent warnings.. in Rotate function

Revision 1.15  2006/09/25 23:05:29  ganovelli
added constructor from matrix44 excluding a row and colum

Revision 1.14  2006/06/22 08:00:05  ganovelli
bug in operator + with MatrixxDig

Revision 1.13  2006/01/20 16:41:44  pietroni
added operators:
            operator -= ( const Matrix33Diag<S>  &p )
           Matrix33  operator - ( const Matrix33Diag<S>  &p )
           Matrix33  operator + ( const Matrix33 &m )
           Matrix33  operator + ( const Matrix33Diag<S>  &p )

Revision 1.12  2005/11/14 10:28:25  cignoni
Changed Invert -> FastInvert for the function based on the maple expansion

Revision 1.11  2005/10/13 15:45:23  ponchio
Changed a Zero in SetZero in WeightedCrossCovariance() (again)

Revision 1.10  2005/10/05 17:06:12  pietroni
corrected sintax error on singular value decomposition

Revision 1.9  2005/09/29 09:53:58  ganovelli
added inverse by SVD

Revision 1.8  2005/06/10 14:51:54  cignoni
Changed a Zero in SetZero in WeightedCrossCovariance()

Revision 1.7  2005/06/10 11:46:49  pietroni
Added Norm Function

Revision 1.6  2005/06/07 14:29:56  ganovelli
changed from Matrix33Ide to MatrixeeDiag

Revision 1.5  2005/05/23 15:05:26  ganovelli
Matrix33Diag Added: it implements diagonal matrix. Added only operator += in Matrix33

Revision 1.4  2005/04/11 14:11:22  pietroni
changed swap to math::Swap in Traspose Function

Revision 1.3  2004/10/18 15:03:02  fiorin
Updated interface: all Matrix classes have now the same interface

Revision 1.2  2004/07/13 06:48:26  cignoni
removed uppercase references in include

Revision 1.1  2004/05/28 13:09:05  ganovelli
created

Revision 1.1  2004/05/28 13:00:39  ganovelli
created


****************************************************************************/


#ifndef __VCGLIB_MATRIX33_H
#define __VCGLIB_MATRIX33_H

#include <stdio.h>
#include <vcg/math/lin_algebra.h>
#include <vcg/math/matrix44.h>
#include <vcg/space/point3.h>
#include <vector>

namespace vcg {

template <class S>
class Matrix33Diag:public Point3<S>{
public:

	/** @name Matrix33
	Class Matrix33Diag.
    This is the class for definition of a diagonal matrix 3x3.
	@param S (Templete Parameter) Specifies the ScalarType field.
*/
	Matrix33Diag(const S & p0,const S & p1,const S & p2):Point3<S>(p0,p1,p2){};
	Matrix33Diag(const  Point3<S>&p ):Point3<S>(p){};
};

template<class S>
/** @name Matrix33
	Class Matrix33.
    This is the class for definition of a matrix 3x3.
	@param S (Templete 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;
		}
	}

	///	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;
	}



	/// Operatore di indicizzazione
	inline S * operator [] ( const int i )
	{
		return a+i*3;
	}
	/// Operatore const di indicizzazione
	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 somma per matrici 3x3
	Matrix33 & operator += ( const Matrix33Diag<S>  &p )
	{
		a[0] += p[0];
		a[4] += p[1];
		a[8] += p[2];
		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 somma per matrici 3x3
	Matrix33 & operator -= ( const Matrix33Diag<S>  &p )
	{
		a[0] -= p[0];
		a[4] -= p[1];
		a[8] -= p[2];
		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 )
	{
		int i,j;
		for(i=0;i<3;++i)
			for(j=0;j<3;++j)
					(*this)[i][j] = (*this)[i][0]*t[0][j] + (*this)[i][1]*t[1][j] + (*this)[i][2]*t[2][j];

	}

	/// Dot product with a diagonal matrix
	Matrix33 operator * ( const Matrix33Diag< 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][j]*t[j];

		return r;
	}

		/// Dot product modifier with a diagonal matrix
	void operator *=( const Matrix33Diag< S> & t )
	{
		int i,j;
		for(i=0;i<3;++i)
			for(j=0;j<3;++j)
					(*this)[i][j] = (*this)[i][j]*t[j];
	}

	/// 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 di matrici 3x3 con matrici diagonali
	Matrix33  operator - ( const Matrix33Diag<S>  &p ) const
	{
		Matrix33<S> r=a;
		r[0][0] -= p[0];
		r[1][1] -= p[1];
		r[2][2] -= p[2];
		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 addizione di matrici 3x3 con matrici diagonali
	Matrix33  operator + ( const Matrix33Diag<S>  &p ) const
	{
		Matrix33<S> r=(*this);
		r[0][0] += p[0];
		r[1][1] += p[1];
		r[2][2] += p[2];
		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()
	{
		math::Swap(a[1],a[3]);
		math::Swap(a[2],a[6]);
		math::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]) ;
	}

  // Warning, this Inversion code can be HIGHLY NUMERICALLY UNSTABLE!
  // In most case you are advised to use the Invert() method based on SVD decomposition.

	Matrix33 & FastInvert()
	{
			// Maple produsse:
		S t4  = a[0]*a[4];
		S t6  = a[0]*a[5];
		S t8  = a[1]*a[3];
		S t10 = a[2]*a[3];
		S t12 = a[1]*a[6];
		S t14 = a[2]*a[6];
		S t17 = 1/(t4*a[8]-t6*a[7]-t8*a[8]+t10*a[7]+t12*a[5]-t14*a[4]);
		S a0  = a[0];
		S a1  = a[1];
		S a3  = a[3];
		S a4  = a[4];
		a[0]  =  (a[4]*a[8]-a[5]*a[7])*t17;
		a[1]  = -(a[1]*a[8]-a[2]*a[7])*t17;
		a[2]  =  (a1  *a[5]-a[2]*a[4])*t17;
		a[3]  = -(a[3]*a[8]-a[5]*a[6])*t17;
		a[4]  =  (a0  *a[8]-t14      )*t17;
		a[5]  = -(t6 - t10)*t17;
		a[6]  =  (a3  *a[7]-a[4]*a[6])*t17;
		a[7]  = -(a[0]*a[7]-t12)*t17;
		a[8]  =  (t4-t8)*t17;

		return *this;
	}

  void show(FILE * /*fp*/)
	{
		for(int i=0;i<3;++i)
		    printf("| %g \t%g \t%g |\n",a[3*i+0],a[3*i+1],a[3*i+2]);
	}

// 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<3;++i)
		for(int j=0;j<3;++j)
			 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];
};

template <class S>
void 	 Invert(Matrix33<S> &m)
	{
		Matrix33<S> v;
		Point3<typename Matrix33<S>::ScalarType> e;
		SingularValueDecomposition(m,&e[0],v);
		e[0]=1/e[0];e[1]=1/e[1];e[2]=1/e[2];
		m.Transpose();
		m = v * Matrix33Diag<S>(e) * m;
	}

template <class S>
Matrix33<S> Inverse(const Matrix33<S>&m)
	{
		Matrix33<S> v,m_copy=m;
		Point3<S> e;
		SingularValueDecomposition(m_copy,&e[0],v);
		m_copy.Transpose();
		e[0]=1/e[0];e[1]=1/e[1];e[2]=1/e[2];
		return v * Matrix33Diag<S>(e) * m_copy;
	}

///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=0.00001;
		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;
		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 float &angleRad)
	{
		vcg::Matrix44<S> matr44;
		vcg::Matrix33<S> matr33;
		matr44.SetRotate(angleRad,axis);
		for (int i=0;i<3;i++)
			for (int j=0;j<3;j++)
				matr33[i][j]=matr44[i][j];
		return matr33;
	}

/// 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