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#ifndef __CGLA_ARITHSQMAT4X4FLOAT_H
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#define __CGLA_ARITHSQMAT4X4FLOAT_H
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#include "ExceptionStandard.h"
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#include "CGLA.h"
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#include "Vec3f.h"
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#include "Vec3Hf.h"
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#include "Vec4f.h"
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#include "ArithSqMatFloat.h"
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namespace CGLA {
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CGLA_DERIVEEXCEPTION(Mat4x4fException)
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CGLA_DERIVEEXCEPTION(Mat4x4fNotAffine)
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CGLA_DERIVEEXCEPTION(Mat4x4fSingular)
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/** Four by four float matrix.
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This class is useful for transformations such as perspective projections
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or translation where 3x3 matrices do not suffice. */
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template<class V, class M>
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class ArithSqMat4x4Float: public ArithSqMatFloat<V, M, 4>
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{
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public:
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/// Construct a Mat4x4f from four V vectors
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ArithSqMat4x4Float(V a, V b, V c, V d):
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ArithSqMatFloat<V, M, 4> (a,b,c,d) {}
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/// Construct the NAN matrix
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ArithSqMat4x4Float() {}
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/// Construct matrix where all values are equal to constructor argument.
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/**** SHOULD NOT USE DOUBLE BELOW. USE WHATEVER TYPE SAYS ****/
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explicit ArithSqMat4x4Float(double _a):
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ArithSqMatFloat<V,M,4>(_a) {}
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/// Construct from a pointed to array of 16 floats.
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ArithSqMat4x4Float(const float* sa): ArithSqMatFloat<V, M, 4> (sa) {}
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/** Multiply vector onto matrix. Here the fourth coordinate
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is se to 0. This removes any translation from the matrix.
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Useful if one wants to transform a vector which does not
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represent a point but a direction. Note that this is not
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correct for transforming normal vectors if the matric
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contains anisotropic scaling. */
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template<class T, class VecT>
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const VecT mul_3D_vector(const ArithVec3Float<T,VecT>& v_in) const
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{
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V v_out = (*this) * V(v_in[0],v_in[1],v_in[2],0);
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return VecT(v_out[0],v_out[1],v_out[2]);
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}
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/** Multiply 3D point onto matrix. Here the fourth coordinate
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becomes 1 to ensure that the point is translated. Note that
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the vector is converted back into a Vec3f without any
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division by w. This is deliberate: Typically, w=1 except
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for projections. If we are doing projection, we can use
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project_3D_point instead */
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template<class T, class VecT>
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const VecT mul_3D_point(const ArithVec3Float<T,VecT> & v_in) const
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{
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V v_out = (*this) * V(v_in[0],v_in[1],v_in[2],1);
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return VecT(v_out[0],v_out[1],v_out[2]);
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}
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/** Multiply 3D point onto matrix. We set w=1 before
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multiplication and divide by w after multiplication. */
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template<class T, class VecT>
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const VecT project_3D_point(const ArithVec3Float<T,VecT>& v_in) const
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{
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V v_out = (*this) * V(v_in[0],v_in[1],v_in[2],1);
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v_out.de_homogenize();
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return VecT(v_out[0],v_out[1],v_out[2]);
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}
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};
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/** Compute the adjoint of a matrix. This is the matrix where each
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entry is the subdeterminant of 'in' where the row and column of
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the element is removed. Use mostly to compute the inverse */
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template<class V, class M>
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M adjoint(const ArithSqMat4x4Float<V,M>&);
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/** Compute the determinant of a 4x4f matrix. */
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template<class V, class M>
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double
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determinant(const ArithSqMat4x4Float<V,M>&);
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/// Compute the inverse matrix of a Mat4x4f.
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template<class V, class M>
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M invert(const ArithSqMat4x4Float<V,M>&);
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/// Compute the inverse matrix of a Mat4x4f that is affine
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template<class V, class M>
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M invert_affine(const ArithSqMat4x4Float<V,M>&);
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}
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#endif
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