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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 1.28 2005/06/28 17:42:47 ganovelli
added Matrix44Diag
Revision 1.27 2005/06/17 05:28:47 cignoni
Completed Shear Matrix code and comments,
Added use of swap inside Transpose
Added more complete comments on the usage of Decompose
Revision 1.26 2005/06/10 15:04:12 cignoni
Added Various missing functions: SetShearXY, SetShearXZ, SetShearYZ, SetScale for point3 and Decompose
Completed *=(scalar); made uniform GetRow and GetColumn
Revision 1.25 2005/04/14 11:35:09 ponchio
*** empty log message ***
Revision 1.24 2005/03/18 00:14:39 cignoni
removed small gcc compiling issues
Revision 1.23 2005/03/15 11:40:56 cignoni
Added operator*=( std::vector<PointType> ...) to apply a matrix to a vector of vertexes (replacement of the old style mesh.Apply(tr).
Revision 1.22 2004/12/15 18:45:50 tommyfranken
*** empty log message ***
Revision 1.21 2004/10/22 14:41:30 ponchio
return in operator+ added.
Revision 1.20 2004/10/18 15:03:14 fiorin
Updated interface: all Matrix classes have now the same interface
Revision 1.19 2004/10/07 14:23:57 ganovelli
added function to take rows and comlumns. Added toMatrix and fromMatrix to comply
RotationTYpe prototype in Similarity.h
Revision 1.18 2004/05/28 13:01:50 ganovelli
changed scalar to ScalarType
Revision 1.17 2004/05/26 15:09:32 cignoni
better comments in set rotate
Revision 1.16 2004/05/07 10:05:50 cignoni
Corrected abuse of for index variable scope
Revision 1.15 2004/05/04 23:19:41 cignoni
Clarified initial comment, removed vector*matrix operator (confusing!)
Corrected translate and Rotate, removed gl stuff.
Revision 1.14 2004/05/04 02:34:03 ganovelli
wrong use of operator [] corrected
Revision 1.13 2004/04/07 10:45:54 cignoni
Added: [i][j] access, V() for the raw float values, constructor from T[16]
Revision 1.12 2004/03/25 14:57:49 ponchio
****************************************************************************/
#ifndef __VCGLIB_MATRIX44
#define __VCGLIB_MATRIX44
#include <memory.h>
#include <vcg/math/base.h>
#include <vcg/space/point3.h>
#include <vcg/space/point4.h>
#include <vector>
namespace vcg {
/*
Annotations:
Opengl stores matrix in column-major order. That is, the matrix is stored as:
a0 a4 a8 a12
a1 a5 a9 a13
a2 a6 a10 a14
a3 a7 a11 a15
Usually in opengl (see opengl specs) vectors are 'column' vectors
so usually matrix are PRE-multiplied for a vector.
So the command glTranslate generate a matrix that
is ready to be premultipled for a vector:
1 0 0 tx
0 1 0 ty
0 0 1 tz
0 0 0 1
Matrix44 stores matrix in row-major order i.e.
a0 a1 a2 a3
a4 a5 a6 a7
a8 a9 a10 a11
a12 a13 a14 a15
So for the use of that matrix in opengl with their supposed meaning you have to transpose them before feeding to glMultMatrix.
This mechanism is hidden by the templated function defined in wrap/gl/math.h;
If your machine has the ARB_transpose_matrix extension it will use the appropriate;
The various gl-like command SetRotate, SetTranslate assume that you are making matrix
for 'column' vectors.
*/
template <class S>
class Matrix44Diag:public Point4<S>{
public:
/** @name Matrix33
Class Matrix33Diag.
This is the class for definition of a diagonal matrix 4x4.
@param S (Templete Parameter) Specifies the ScalarType field.
*/
Matrix44Diag(const S & p0,const S & p1,const S & p2,const S & p3):Point4<S>(p0,p1,p2,p3){};
Matrix44Diag( const Point4<S> & p ):Point4<S>(p){};
};
/** This class represent a 4x4 matrix. T is the kind of element in the matrix.
*/
template <class T> class Matrix44 {
protected:
T _a[16];
public:
typedef T ScalarType;
///@{
/** $name Constructors
* No automatic casting and default constructor is empty
*/
Matrix44() {};
~Matrix44() {};
Matrix44(const Matrix44 &m);
Matrix44(const T v[]);
/// Number of columns
inline unsigned int ColumnsNumber() const
{
return 4;
};
/// Number of rows
inline unsigned int RowsNumber() const
{
return 4;
};
T &ElementAt(const int row, const int col);
T ElementAt(const int row, const int col) const;
//T &operator[](const int i);
//const T &operator[](const int i) const;
T *V();
const T *V() const ;
T *operator[](const int i);
const T *operator[](const int i) const;
// return a copy of the i-th column
Point4<T> GetColumn4(const int& i)const{
assert(i>=0 && i<4);
return Point4<T>(ElementAt(0,i),ElementAt(1,i),ElementAt(2,i),ElementAt(3,i));
//return Point4<T>(_a[i],_a[i+4],_a[i+8],_a[i+12]);
}
Point3<T> GetColumn3(const int& i)const{
assert(i>=0 && i<4);
return Point3<T>(ElementAt(0,i),ElementAt(1,i),ElementAt(2,i));
}
Point4<T> GetRow4(const int& i)const{
assert(i>=0 && i<4);
return Point4<T>(ElementAt(i,0),ElementAt(i,1),ElementAt(i,2),ElementAt(i,3));
// return *((Point4<T>*)(&_a[i<<2])); alternativa forse + efficiente
}
Point3<T> GetRow3(const int& i)const{
assert(i>=0 && i<4);
return Point3<T>(ElementAt(i,0),ElementAt(i,1),ElementAt(i,2));
// return *((Point4<T>*)(&_a[i<<2])); alternativa forse + efficiente
}
Matrix44 operator+(const Matrix44 &m) const;
Matrix44 operator-(const Matrix44 &m) const;
Matrix44 operator*(const Matrix44 &m) const;
Matrix44 operator*(const Matrix44Diag<T> &m) const;
Point4<T> operator*(const Point4<T> &v) const;
bool operator==(const Matrix44 &m) const;
bool operator!= (const Matrix44 &m) const;
Matrix44 operator-() const;
Matrix44 operator*(const T k) const;
void operator+=(const Matrix44 &m);
void operator-=(const Matrix44 &m);
void operator*=( const Matrix44 & m );
void operator*=( const T k );
template <class Matrix44Type>
void ToMatrix(Matrix44Type & m) const {for(int i = 0; i < 16; i++) m.V()[i]=V()[i];}
template <class Matrix44Type>
void FromMatrix(const Matrix44Type & m){for(int i = 0; i < 16; i++) V()[i]=m.V()[i];}
void SetZero();
void SetIdentity();
void SetDiagonal(const T k);
Matrix44 &SetScale(const T sx, const T sy, const T sz);
Matrix44 &SetScale(const Point3<T> &t);
Matrix44 &SetTranslate(const Point3<T> &t);
Matrix44 &SetTranslate(const T sx, const T sy, const T sz);
Matrix44 &SetShearXY(const T sz);
Matrix44 &SetShearXZ(const T sy);
Matrix44 &SetShearYZ(const T sx);
///use radiants for angle.
Matrix44 &SetRotate(T AngleRad, const Point3<T> & axis);
T Determinant() const;
template <class Q> void Import(const Matrix44<Q> &m) {
for(int i = 0; i < 16; i++)
_a[i] = (T)(m.V()[i]);
}
};
/** Class for solving A * x = b. */
template <class T> class LinearSolve: public Matrix44<T> {
public:
LinearSolve(const Matrix44<T> &m);
Point4<T> Solve(const Point4<T> &b); // solve A <20> x = b
///If you need to solve some equation you can use this function instead of Matrix44 one for speed.
T Determinant() const;
protected:
///Holds row permutation.
int index[4]; //hold permutation
///Hold sign of row permutation (used for determinant sign)
T d;
bool Decompose();
};
/*** Postmultiply */
//template <class T> Point3<T> operator*(const Point3<T> &p, const Matrix44<T> &m);
///Premultiply
template <class T> Point3<T> operator*(const Matrix44<T> &m, const Point3<T> &p);
template <class T> Matrix44<T> &Transpose(Matrix44<T> &m);
//return NULL matrix if not invertible
template <class T> Matrix44<T> &Invert(Matrix44<T> &m);
template <class T> Matrix44<T> Inverse(const Matrix44<T> &m);
typedef Matrix44<short> Matrix44s;
typedef Matrix44<int> Matrix44i;
typedef Matrix44<float> Matrix44f;
typedef Matrix44<double> Matrix44d;
template <class T> Matrix44<T>::Matrix44(const Matrix44<T> &m) {
memcpy((T *)_a, (T *)m._a, 16 * sizeof(T));
}
template <class T> Matrix44<T>::Matrix44(const T v[]) {
memcpy((T *)_a, v, 16 * sizeof(T));
}
template <class T> T &Matrix44<T>::ElementAt(const int row, const int col) {
assert(row >= 0 && row < 4);
assert(col >= 0 && col < 4);
return _a[(row<<2) + col];
}
template <class T> T Matrix44<T>::ElementAt(const int row, const int col) const {
assert(row >= 0 && row < 4);
assert(col >= 0 && col < 4);
return _a[(row<<2) + col];
}
//template <class T> T &Matrix44<T>::operator[](const int i) {
// assert(i >= 0 && i < 16);
// return ((T *)_a)[i];
//}
//
//template <class T> const T &Matrix44<T>::operator[](const int i) const {
// assert(i >= 0 && i < 16);
// return ((T *)_a)[i];
//}
template <class T> T *Matrix44<T>::operator[](const int i) {
assert(i >= 0 && i < 4);
return _a+i*4;
}
template <class T> const T *Matrix44<T>::operator[](const int i) const {
assert(i >= 0 && i < 4);
return _a+i*4;
}
template <class T> T *Matrix44<T>::V() { return _a;}
template <class T> const T *Matrix44<T>::V() const { return _a;}
template <class T> Matrix44<T> Matrix44<T>::operator+(const Matrix44 &m) const {
Matrix44<T> ret;
for(int i = 0; i < 16; i++)
ret.V()[i] = V()[i] + m.V()[i];
return ret;
}
template <class T> Matrix44<T> Matrix44<T>::operator-(const Matrix44 &m) const {
Matrix44<T> ret;
for(int i = 0; i < 16; i++)
ret.V()[i] = V()[i] - m.V()[i];
return ret;
}
template <class T> Matrix44<T> Matrix44<T>::operator*(const Matrix44 &m) const {
Matrix44 ret;
for(int i = 0; i < 4; i++)
for(int j = 0; j < 4; j++) {
T t = 0.0;
for(int k = 0; k < 4; k++)
t += ElementAt(i, k) * m.ElementAt(k, j);
ret.ElementAt(i, j) = t;
}
return ret;
}
template <class T> Matrix44<T> Matrix44<T>::operator*(const Matrix44Diag<T> &m) const {
Matrix44 ret = (*this);
for(int i = 0; i < 4; ++i)
for(int j = 0; j < 4; ++j)
ret[i][j]*=m[i];
return ret;
}
template <class T> Point4<T> Matrix44<T>::operator*(const Point4<T> &v) const {
Point4<T> ret;
for(int i = 0; i < 4; i++){
T t = 0.0;
for(int k = 0; k < 4; k++)
t += ElementAt(i,k) * v[k];
ret[i] = t;
}
return ret;
}
template <class T> bool Matrix44<T>::operator==(const Matrix44 &m) const {
for(int i = 0; i < 4; ++i)
for(int j = 0; j < 4; ++j)
if(ElementAt(i,j) != m.ElementAt(i,j))
return false;
return true;
}
template <class T> bool Matrix44<T>::operator!=(const Matrix44 &m) const {
for(int i = 0; i < 4; ++i)
for(int j = 0; j < 4; ++j)
if(ElementAt(i,j) != m.ElementAt(i,j))
return true;
return false;
}
template <class T> Matrix44<T> Matrix44<T>::operator-() const {
Matrix44<T> res;
for(int i = 0; i < 16; i++)
res.V()[i] = -V()[i];
return res;
}
template <class T> Matrix44<T> Matrix44<T>::operator*(const T k) const {
Matrix44<T> res;
for(int i = 0; i < 16; i++)
res.V()[i] =V()[i] * k;
return res;
}
template <class T> void Matrix44<T>::operator+=(const Matrix44 &m) {
for(int i = 0; i < 16; i++)
V()[i] += m.V()[i];
}
template <class T> void Matrix44<T>::operator-=(const Matrix44 &m) {
for(int i = 0; i < 16; i++)
V()[i] -= m.V()[i];
}
template <class T> void Matrix44<T>::operator*=( const Matrix44 & m ) {
*this = *this *m;
/*for(int i = 0; i < 4; i++) { //sbagliato
Point4<T> t(0, 0, 0, 0);
for(int k = 0; k < 4; k++) {
for(int j = 0; j < 4; j++) {
t[k] += ElementAt(i, k) * m.ElementAt(k, j);
}
}
for(int l = 0; l < 4; l++)
ElementAt(i, l) = t[l];
} */
}
template < class PointType , class T > void operator*=( std::vector<PointType> &vert, const Matrix44<T> & m ) {
typename std::vector<PointType>::iterator ii;
for(ii=vert.begin();ii!=vert.end();++ii)
(*ii).P()=m * (*ii).P();
}
template <class T> void Matrix44<T>::operator*=( const T k ) {
for(int i = 0; i < 16; i++)
_a[i] *= k;
}
template <class T> void Matrix44<T>::SetZero() {
memset((T *)_a, 0, 16 * sizeof(T));
}
template <class T> void Matrix44<T>::SetIdentity() {
SetDiagonal(1);
}
template <class T> void Matrix44<T>::SetDiagonal(const T k) {
SetZero();
ElementAt(0, 0) = k;
ElementAt(1, 1) = k;
ElementAt(2, 2) = k;
ElementAt(3, 3) = 1;
}
template <class T> Matrix44<T> &Matrix44<T>::SetScale(const Point3<T> &t) {
SetScale(t[0], t[1], t[2]);
return *this;
}
template <class T> Matrix44<T> &Matrix44<T>::SetScale(const T sx, const T sy, const T sz) {
SetZero();
ElementAt(0, 0) = sx;
ElementAt(1, 1) = sy;
ElementAt(2, 2) = sz;
ElementAt(3, 3) = 1;
return *this;
}
template <class T> Matrix44<T> &Matrix44<T>::SetTranslate(const Point3<T> &t) {
SetTranslate(t[0], t[1], t[2]);
return *this;
}
template <class T> Matrix44<T> &Matrix44<T>::SetTranslate(const T sx, const T sy, const T sz) {
SetIdentity();
ElementAt(0, 3) = sx;
ElementAt(1, 3) = sy;
ElementAt(2, 3) = sz;
return *this;
}
template <class T> Matrix44<T> &Matrix44<T>::SetRotate(T AngleRad, const Point3<T> & axis) {
//angle = angle*(T)3.14159265358979323846/180; e' in radianti!
T c = math::Cos(AngleRad);
T s = math::Sin(AngleRad);
T q = 1-c;
Point3<T> t = axis;
t.Normalize();
ElementAt(0,0) = t[0]*t[0]*q + c;
ElementAt(0,1) = t[0]*t[1]*q - t[2]*s;
ElementAt(0,2) = t[0]*t[2]*q + t[1]*s;
ElementAt(0,3) = 0;
ElementAt(1,0) = t[1]*t[0]*q + t[2]*s;
ElementAt(1,1) = t[1]*t[1]*q + c;
ElementAt(1,2) = t[1]*t[2]*q - t[0]*s;
ElementAt(1,3) = 0;
ElementAt(2,0) = t[2]*t[0]*q -t[1]*s;
ElementAt(2,1) = t[2]*t[1]*q +t[0]*s;
ElementAt(2,2) = t[2]*t[2]*q +c;
ElementAt(2,3) = 0;
ElementAt(3,0) = 0;
ElementAt(3,1) = 0;
ElementAt(3,2) = 0;
ElementAt(3,3) = 1;
return *this;
}
/* Shear Matrixes
XY
1 k 0 0 x x+ky
0 1 0 0 y y
0 0 1 0 z z
0 0 0 1 1 1
1 0 k 0 x x+kz
0 1 0 0 y y
0 0 1 0 z z
0 0 0 1 1 1
1 1 0 0 x x
0 1 k 0 y y+kz
0 0 1 0 z z
0 0 0 1 1 1
*/
template <class T> Matrix44<T> & Matrix44<T>:: SetShearXY( const T sh) {// shear the X coordinate as the Y coordinate change
SetIdentity();
ElementAt(0,1) = sh;
return *this;
}
template <class T> Matrix44<T> & Matrix44<T>:: SetShearXZ( const T sh) {// shear the X coordinate as the Z coordinate change
SetIdentity();
ElementAt(0,2) = sh;
return *this;
}
template <class T> Matrix44<T> &Matrix44<T>:: SetShearYZ( const T sh) {// shear the Y coordinate as the Z coordinate change
SetIdentity();
ElementAt(1,2) = sh;
return *this;
}
/*
Given a non singular, non projective matrix (e.g. with the last row equal to [0,0,0,1] )
This procedure decompose it in a sequence of
Scale,Shear,Rotation e Translation
- ScaleV and Tranv are obiviously scaling and translation.
- ShearV contains three scalars with, respectively
ShearXY, ShearXZ e ShearYZ
- RotateV contains the rotations (in degree!) around the x,y,z axis
The input matrix is modified leaving inside it a simple roto translation.
To obtain the original matrix the above transformation have to be applied in the strict following way:
OriginalMatrix = Trn * Rtx*Rty*Rtz * ShearYZ*ShearXZ*ShearXY * Scl
Example Code:
double srv() { return (double(rand()%40)-20)/2.0; } // small random value
srand(time(0));
Point3d ScV(10+srv(),10+srv(),10+srv()),ScVOut(-1,-1,-1);
Point3d ShV(srv(),srv(),srv()),ShVOut(-1,-1,-1);
Point3d RtV(10+srv(),srv(),srv()),RtVOut(-1,-1,-1);
Point3d TrV(srv(),srv(),srv()),TrVOut(-1,-1,-1);
Matrix44d Scl; Scl.SetScale(ScV);
Matrix44d Sxy; Sxy.SetShearXY(ShV[0]);
Matrix44d Sxz; Sxz.SetShearXZ(ShV[1]);
Matrix44d Syz; Syz.SetShearYZ(ShV[2]);
Matrix44d Rtx; Rtx.SetRotate(math::ToRad(RtV[0]),Point3d(1,0,0));
Matrix44d Rty; Rty.SetRotate(math::ToRad(RtV[1]),Point3d(0,1,0));
Matrix44d Rtz; Rtz.SetRotate(math::ToRad(RtV[2]),Point3d(0,0,1));
Matrix44d Trn; Trn.SetTranslate(TrV);
Matrix44d StartM = Trn * Rtx*Rty*Rtz * Syz*Sxz*Sxy *Scl;
Matrix44d ResultM=StartM;
Decompose(ResultM,ScVOut,ShVOut,RtVOut,TrVOut);
Scl.SetScale(ScVOut);
Sxy.SetShearXY(ShVOut[0]);
Sxz.SetShearXZ(ShVOut[1]);
Syz.SetShearYZ(ShVOut[2]);
Rtx.SetRotate(math::ToRad(RtVOut[0]),Point3d(1,0,0));
Rty.SetRotate(math::ToRad(RtVOut[1]),Point3d(0,1,0));
Rtz.SetRotate(math::ToRad(RtVOut[2]),Point3d(0,0,1));
Trn.SetTranslate(TrVOut);
// Now Rebuild is equal to StartM
Matrix44d RebuildM = Trn * Rtx*Rty*Rtz * Syz*Sxz*Sxy * Scl ;
*/
template <class T>
bool Decompose(Matrix44<T> &M, Point3<T> &ScaleV, Point3<T> &ShearV, Point3<T> &RotV,Point3<T> &TranV)
{
if(!(M[3][0]==0 && M[3][1]==0 && M[3][2]==0 && M[3][3]==1) ) // the matrix is projective
return false;
if(math::Abs(M.Determinant())<1e-10) return false; // matrix should be at least invertible...
// First Step recover the traslation
TranV=M.GetColumn3(3);
// Second Step Recover Scale and Shearing interleaved
ScaleV[0]=Norm(M.GetColumn3(0));
Point3d R[3];
R[0]=M.GetColumn3(0);
R[0].Normalize();
ShearV[0]=R[0]*M.GetColumn3(1); // xy shearing
R[1]= M.GetColumn3(1)-R[0]*ShearV[0];
assert(math::Abs(R[1]*R[0])<1e-10);
ScaleV[1]=Norm(R[1]); // y scaling
R[1]=R[1]/ScaleV[1];
ShearV[0]=ShearV[0]/ScaleV[1];
ShearV[1]=R[0]*M.GetColumn3(2); // xz shearing
R[2]= M.GetColumn3(2)-R[0]*ShearV[1];
assert(math::Abs(R[2]*R[0])<1e-10);
R[2] = R[2]-R[1]*(R[2]*R[1]);
assert(math::Abs(R[2]*R[1])<1e-10);
assert(math::Abs(R[2]*R[0])<1e-10);
ScaleV[2]=Norm(R[2]);
ShearV[1]=ShearV[1]/ScaleV[2];
R[2]=R[2]/ScaleV[2];
assert(math::Abs(R[2]*R[1])<1e-10);
assert(math::Abs(R[2]*R[0])<1e-10);
ShearV[2]=R[1]*M.GetColumn3(2); // yz shearing
ShearV[2]=ShearV[2]/ScaleV[2];
int i,j;
for(i=0;i<3;++i)
for(j=0;j<3;++j)
M[i][j]=R[j][i];
// Third and last step: Recover the rotation
//now the matrix should be a pure rotation matrix so its determinant is +-1
double det=M.Determinant();
if(math::Abs(det)<1e-10) return false; // matrix should be at least invertible...
assert(math::Abs(math::Abs(det)-1.0)<1e-10); // it should be +-1...
if(det<0) {
ScaleV *= -1;
M *= -1;
}
double alpha,beta,gamma; // rotations around the x,y and z axis
beta=asin( M[0][2]);
double cosbeta=cos(beta);
if(math::Abs(cosbeta) > 1e-5)
{
alpha=asin(-M[1][2]/cosbeta);
if((M[2][2]/cosbeta) < 0 ) alpha=M_PI-alpha;
gamma=asin(-M[0][1]/cosbeta);
if((M[0][0]/cosbeta)<0) gamma = M_PI-gamma;
}
else
{
alpha=asin(-M[1][0]);
if(M[1][1]<0) alpha=M_PI-alpha;
gamma=0;
}
RotV[0]=math::ToDeg(alpha);
RotV[1]=math::ToDeg(beta);
RotV[2]=math::ToDeg(gamma);
return true;
}
template <class T> T Matrix44<T>::Determinant() const {
LinearSolve<T> solve(*this);
return solve.Determinant();
}
template <class T> Point3<T> operator*(const Matrix44<T> &m, const Point3<T> &p) {
T w;
Point3<T> s;
s[0] = m.ElementAt(0, 0)*p[0] + m.ElementAt(0, 1)*p[1] + m.ElementAt(0, 2)*p[2] + m.ElementAt(0, 3);
s[1] = m.ElementAt(1, 0)*p[0] + m.ElementAt(1, 1)*p[1] + m.ElementAt(1, 2)*p[2] + m.ElementAt(1, 3);
s[2] = m.ElementAt(2, 0)*p[0] + m.ElementAt(2, 1)*p[1] + m.ElementAt(2, 2)*p[2] + m.ElementAt(2, 3);
w = m.ElementAt(3, 0)*p[0] + m.ElementAt(3, 1)*p[1] + m.ElementAt(3, 2)*p[2] + m.ElementAt(3, 3);
if(w!= 0) s /= w;
return s;
}
//template <class T> Point3<T> operator*(const Point3<T> &p, const Matrix44<T> &m) {
// T w;
// Point3<T> s;
// s[0] = m.ElementAt(0, 0)*p[0] + m.ElementAt(1, 0)*p[1] + m.ElementAt(2, 0)*p[2] + m.ElementAt(3, 0);
// s[1] = m.ElementAt(0, 1)*p[0] + m.ElementAt(1, 1)*p[1] + m.ElementAt(2, 1)*p[2] + m.ElementAt(3, 1);
// s[2] = m.ElementAt(0, 2)*p[0] + m.ElementAt(1, 2)*p[1] + m.ElementAt(2, 2)*p[2] + m.ElementAt(3, 2);
// w = m.ElementAt(0, 3)*p[0] + m.ElementAt(1, 3)*p[1] + m.ElementAt(2, 3)*p[2] + m.ElementAt(3, 3);
// if(w != 0) s /= w;
// return s;
//}
template <class T> Matrix44<T> &Transpose(Matrix44<T> &m) {
for(int i = 1; i < 4; i++)
for(int j = 0; j < i; j++) {
math::Swap(m.ElementAt(i, j), m.ElementAt(j, i));
}
return m;
}
template <class T> Matrix44<T> &Invert(Matrix44<T> &m) {
LinearSolve<T> solve(m);
for(int j = 0; j < 4; j++) { //Find inverse by columns.
Point4<T> col(0, 0, 0, 0);
col[j] = 1.0;
col = solve.Solve(col);
for(int i = 0; i < 4; i++)
m.ElementAt(i, j) = col[i];
}
return m;
}
template <class T> Matrix44<T> Inverse(const Matrix44<T> &m) {
LinearSolve<T> solve(m);
Matrix44<T> res;
for(int j = 0; j < 4; j++) { //Find inverse by columns.
Point4<T> col(0, 0, 0, 0);
col[j] = 1.0;
col = solve.Solve(col);
for(int i = 0; i < 4; i++)
res.ElementAt(i, j) = col[i];
}
return res;
}
/* LINEAR SOLVE IMPLEMENTATION */
template <class T> LinearSolve<T>::LinearSolve(const Matrix44<T> &m): Matrix44<T>(m) {
if(!Decompose()) {
for(int i = 0; i < 4; i++)
index[i] = i;
Matrix44<T>::SetZero();
}
}
template <class T> T LinearSolve<T>::Determinant() const {
T det = d;
for(int j = 0; j < 4; j++)
det *= this-> ElementAt(j, j);
return det;
}
/*replaces a matrix by its LU decomposition of a rowwise permutation.
d is +or -1 depeneing of row permutation even or odd.*/
#define TINY 1e-100
template <class T> bool LinearSolve<T>::Decompose() {
/* Matrix44<T> A;
for(int i = 0; i < 16; i++)
A[i] = operator[](i);
SetIdentity();
Point4<T> scale;
// Set scale factor, scale(i) = max( |a(i,j)| ), for each row
for(int i = 0; i < 4; i++ ) {
index[i] = i; // Initialize row index list
T scalemax = (T)0.0;
for(int j = 0; j < 4; j++)
scalemax = (scalemax > math::Abs(A.ElementAt(i,j))) ? scalemax : math::Abs(A.ElementAt(i,j));
scale[i] = scalemax;
}
// Loop over rows k = 1, ..., (N-1)
int signDet = 1;
for(int k = 0; k < 3; k++ ) {
// Select pivot row from max( |a(j,k)/s(j)| )
T ratiomax = (T)0.0;
int jPivot = k;
for(int i = k; i < 4; i++ ) {
T ratio = math::Abs(A.ElementAt(index[i], k))/scale[index[i]];
if(ratio > ratiomax) {
jPivot = i;
ratiomax = ratio;
}
}
// Perform pivoting using row index list
int indexJ = index[k];
if( jPivot != k ) { // Pivot
indexJ = index[jPivot];
index[jPivot] = index[k]; // Swap index jPivot and k
index[k] = indexJ;
signDet *= -1; // Flip sign of determinant
}
// Perform forward elimination
for(int i=k+1; i < 4; i++ ) {
T coeff = A.ElementAt(index[i],k)/A.ElementAt(indexJ,k);
for(int j=k+1; j < 4; j++ )
A.ElementAt(index[i],j) -= coeff*A.ElementAt(indexJ,j);
A.ElementAt(index[i],k) = coeff;
//for( j=1; j< 4; j++ )
// ElementAt(index[i],j) -= A.ElementAt(index[i], k)*ElementAt(indexJ, j);
}
}
for(int i = 0; i < 16; i++)
operator[](i) = A[i];
d = signDet;
// this = A;
return true; */
d = 1; //no permutation still
T scaling[4];
int i,j,k;
//Saving the scvaling information per row
for(i = 0; i < 4; i++) {
T largest = 0.0;
for(j = 0; j < 4; j++) {
T t = math::Abs(this->ElementAt(i, j));
if (t > largest) largest = t;
}
if (largest == 0.0) { //oooppps there is a zero row!
return false;
}
scaling[i] = (T)1.0 / largest;
}
int imax;
for(j = 0; j < 4; j++) {
for(i = 0; i < j; i++) {
T sum = this->ElementAt(i,j);
for(int k = 0; k < i; k++)
sum -= this->ElementAt(i,k)*this->ElementAt(k,j);
this->ElementAt(i,j) = sum;
}
T largest = 0.0;
for(i = j; i < 4; i++) {
T sum = this->ElementAt(i,j);
for(k = 0; k < j; k++)
sum -= this->ElementAt(i,k)*this->ElementAt(k,j);
this->ElementAt(i,j) = sum;
T t = scaling[i] * math::Abs(sum);
if(t >= largest) {
largest = t;
imax = i;
}
}
if (j != imax) {
for (int k = 0; k < 4; k++) {
T dum = this->ElementAt(imax,k);
this->ElementAt(imax,k) = this->ElementAt(j,k);
this->ElementAt(j,k) = dum;
}
d = -(d);
scaling[imax] = scaling[j];
}
index[j]=imax;
if (this->ElementAt(j,j) == 0.0) this->ElementAt(j,j) = (T)TINY;
if (j != 3) {
T dum = (T)1.0 / (this->ElementAt(j,j));
for (i = j+1; i < 4; i++)
this->ElementAt(i,j) *= dum;
}
}
return true;
}
template <class T> Point4<T> LinearSolve<T>::Solve(const Point4<T> &b) {
Point4<T> x(b);
int first = -1, ip;
for(int i = 0; i < 4; i++) {
ip = index[i];
T sum = x[ip];
x[ip] = x[i];
if(first!= -1)
for(int j = first; j <= i-1; j++)
sum -= this->ElementAt(i,j) * x[j];
else
if(sum) first = i;
x[i] = sum;
}
for (int i = 3; i >= 0; i--) {
T sum = x[i];
for (int j = i+1; j < 4; j++)
sum -= this->ElementAt(i, j) * x[j];
x[i] = sum / this->ElementAt(i, i);
}
return x;
}
} //namespace
#endif
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