assimp/include/assimp/matrix3x3.inl

360 lines
13 KiB
C++

/*
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*/
/** @file matrix3x3.inl
* @brief Inline implementation of the 3x3 matrix operators
*/
#pragma once
#ifndef AI_MATRIX3X3_INL_INC
#define AI_MATRIX3X3_INL_INC
#ifdef __GNUC__
# pragma GCC system_header
#endif
#ifdef __cplusplus
#include <assimp/matrix3x3.h>
#include <assimp/matrix4x4.h>
#include <algorithm>
#include <cmath>
#include <limits>
// ------------------------------------------------------------------------------------------------
// Construction from a 4x4 matrix. The remaining parts of the matrix are ignored.
template <typename TReal>
AI_FORCE_INLINE
aiMatrix3x3t<TReal>::aiMatrix3x3t( const aiMatrix4x4t<TReal>& pMatrix) {
a1 = pMatrix.a1; a2 = pMatrix.a2; a3 = pMatrix.a3;
b1 = pMatrix.b1; b2 = pMatrix.b2; b3 = pMatrix.b3;
c1 = pMatrix.c1; c2 = pMatrix.c2; c3 = pMatrix.c3;
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
aiMatrix3x3t<TReal>& aiMatrix3x3t<TReal>::operator *= (const aiMatrix3x3t<TReal>& m) {
*this = aiMatrix3x3t<TReal>(m.a1 * a1 + m.b1 * a2 + m.c1 * a3,
m.a2 * a1 + m.b2 * a2 + m.c2 * a3,
m.a3 * a1 + m.b3 * a2 + m.c3 * a3,
m.a1 * b1 + m.b1 * b2 + m.c1 * b3,
m.a2 * b1 + m.b2 * b2 + m.c2 * b3,
m.a3 * b1 + m.b3 * b2 + m.c3 * b3,
m.a1 * c1 + m.b1 * c2 + m.c1 * c3,
m.a2 * c1 + m.b2 * c2 + m.c2 * c3,
m.a3 * c1 + m.b3 * c2 + m.c3 * c3);
return *this;
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
template <typename TOther>
aiMatrix3x3t<TReal>::operator aiMatrix3x3t<TOther> () const {
return aiMatrix3x3t<TOther>(static_cast<TOther>(a1),static_cast<TOther>(a2),static_cast<TOther>(a3),
static_cast<TOther>(b1),static_cast<TOther>(b2),static_cast<TOther>(b3),
static_cast<TOther>(c1),static_cast<TOther>(c2),static_cast<TOther>(c3));
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
aiMatrix3x3t<TReal> aiMatrix3x3t<TReal>::operator* (const aiMatrix3x3t<TReal>& m) const {
aiMatrix3x3t<TReal> temp( *this);
temp *= m;
return temp;
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
TReal* aiMatrix3x3t<TReal>::operator[] (unsigned int p_iIndex) {
switch ( p_iIndex ) {
case 0:
return &a1;
case 1:
return &b1;
case 2:
return &c1;
default:
break;
}
return &a1;
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
const TReal* aiMatrix3x3t<TReal>::operator[] (unsigned int p_iIndex) const {
switch ( p_iIndex ) {
case 0:
return &a1;
case 1:
return &b1;
case 2:
return &c1;
default:
break;
}
return &a1;
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
bool aiMatrix3x3t<TReal>::operator== (const aiMatrix3x3t<TReal>& m) const {
return a1 == m.a1 && a2 == m.a2 && a3 == m.a3 &&
b1 == m.b1 && b2 == m.b2 && b3 == m.b3 &&
c1 == m.c1 && c2 == m.c2 && c3 == m.c3;
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
bool aiMatrix3x3t<TReal>::operator!= (const aiMatrix3x3t<TReal>& m) const {
return !(*this == m);
}
// ---------------------------------------------------------------------------
template<typename TReal>
AI_FORCE_INLINE
bool aiMatrix3x3t<TReal>::Equal(const aiMatrix3x3t<TReal>& m, TReal epsilon) const {
return
std::abs(a1 - m.a1) <= epsilon &&
std::abs(a2 - m.a2) <= epsilon &&
std::abs(a3 - m.a3) <= epsilon &&
std::abs(b1 - m.b1) <= epsilon &&
std::abs(b2 - m.b2) <= epsilon &&
std::abs(b3 - m.b3) <= epsilon &&
std::abs(c1 - m.c1) <= epsilon &&
std::abs(c2 - m.c2) <= epsilon &&
std::abs(c3 - m.c3) <= epsilon;
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
aiMatrix3x3t<TReal>& aiMatrix3x3t<TReal>::Transpose() {
// (TReal&) don't remove, GCC complains cause of packed fields
std::swap( (TReal&)a2, (TReal&)b1);
std::swap( (TReal&)a3, (TReal&)c1);
std::swap( (TReal&)b3, (TReal&)c2);
return *this;
}
// ----------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
TReal aiMatrix3x3t<TReal>::Determinant() const {
return a1*b2*c3 - a1*b3*c2 + a2*b3*c1 - a2*b1*c3 + a3*b1*c2 - a3*b2*c1;
}
// ----------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
aiMatrix3x3t<TReal>& aiMatrix3x3t<TReal>::Inverse() {
// Compute the reciprocal determinant
TReal det = Determinant();
if(det == static_cast<TReal>(0.0))
{
// Matrix not invertible. Setting all elements to nan is not really
// correct in a mathematical sense; but at least qnans are easy to
// spot. XXX we might throw an exception instead, which would
// be even much better to spot :/.
const TReal nan = std::numeric_limits<TReal>::quiet_NaN();
*this = aiMatrix3x3t<TReal>( nan,nan,nan,nan,nan,nan,nan,nan,nan);
return *this;
}
TReal invdet = static_cast<TReal>(1.0) / det;
aiMatrix3x3t<TReal> res;
res.a1 = invdet * (b2 * c3 - b3 * c2);
res.a2 = -invdet * (a2 * c3 - a3 * c2);
res.a3 = invdet * (a2 * b3 - a3 * b2);
res.b1 = -invdet * (b1 * c3 - b3 * c1);
res.b2 = invdet * (a1 * c3 - a3 * c1);
res.b3 = -invdet * (a1 * b3 - a3 * b1);
res.c1 = invdet * (b1 * c2 - b2 * c1);
res.c2 = -invdet * (a1 * c2 - a2 * c1);
res.c3 = invdet * (a1 * b2 - a2 * b1);
*this = res;
return *this;
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
aiMatrix3x3t<TReal>& aiMatrix3x3t<TReal>::RotationZ(TReal a, aiMatrix3x3t<TReal>& out) {
out.a1 = out.b2 = std::cos(a);
out.b1 = std::sin(a);
out.a2 = - out.b1;
out.a3 = out.b3 = out.c1 = out.c2 = 0.f;
out.c3 = 1.f;
return out;
}
// ------------------------------------------------------------------------------------------------
// Returns a rotation matrix for a rotation around an arbitrary axis.
template <typename TReal>
AI_FORCE_INLINE
aiMatrix3x3t<TReal>& aiMatrix3x3t<TReal>::Rotation( TReal a, const aiVector3t<TReal>& axis, aiMatrix3x3t<TReal>& out) {
TReal c = std::cos( a), s = std::sin( a), t = 1 - c;
TReal x = axis.x, y = axis.y, z = axis.z;
// Many thanks to MathWorld and Wikipedia
out.a1 = t*x*x + c; out.a2 = t*x*y - s*z; out.a3 = t*x*z + s*y;
out.b1 = t*x*y + s*z; out.b2 = t*y*y + c; out.b3 = t*y*z - s*x;
out.c1 = t*x*z - s*y; out.c2 = t*y*z + s*x; out.c3 = t*z*z + c;
return out;
}
// ------------------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE
aiMatrix3x3t<TReal>& aiMatrix3x3t<TReal>::Translation( const aiVector2t<TReal>& v, aiMatrix3x3t<TReal>& out) {
out = aiMatrix3x3t<TReal>();
out.a3 = v.x;
out.b3 = v.y;
return out;
}
// ----------------------------------------------------------------------------------------
/** A function for creating a rotation matrix that rotates a vector called
* "from" into another vector called "to".
* Input : from[3], to[3] which both must be *normalized* non-zero vectors
* Output: mtx[3][3] -- a 3x3 matrix in colum-major form
* Authors: Tomas Möller, John Hughes
* "Efficiently Building a Matrix to Rotate One Vector to Another"
* Journal of Graphics Tools, 4(4):1-4, 1999
*/
// ----------------------------------------------------------------------------------------
template <typename TReal>
AI_FORCE_INLINE aiMatrix3x3t<TReal>& aiMatrix3x3t<TReal>::FromToMatrix(const aiVector3t<TReal>& from,
const aiVector3t<TReal>& to, aiMatrix3x3t<TReal>& mtx) {
const TReal e = from * to;
const TReal f = (e < 0)? -e:e;
if (f > static_cast<TReal>(1.0) - static_cast<TReal>(0.00001)) /* "from" and "to"-vector almost parallel */
{
aiVector3D u,v; /* temporary storage vectors */
aiVector3D x; /* vector most nearly orthogonal to "from" */
x.x = (from.x > 0.0)? from.x : -from.x;
x.y = (from.y > 0.0)? from.y : -from.y;
x.z = (from.z > 0.0)? from.z : -from.z;
if (x.x < x.y)
{
if (x.x < x.z)
{
x.x = static_cast<TReal>(1.0);
x.y = x.z = static_cast<TReal>(0.0);
}
else
{
x.z = static_cast<TReal>(1.0);
x.x = x.y = static_cast<TReal>(0.0);
}
}
else
{
if (x.y < x.z)
{
x.y = static_cast<TReal>(1.0);
x.x = x.z = static_cast<TReal>(0.0);
}
else
{
x.z = static_cast<TReal>(1.0);
x.x = x.y = static_cast<TReal>(0.0);
}
}
u.x = x.x - from.x; u.y = x.y - from.y; u.z = x.z - from.z;
v.x = x.x - to.x; v.y = x.y - to.y; v.z = x.z - to.z;
const TReal c1_ = static_cast<TReal>(2.0) / (u * u);
const TReal c2_ = static_cast<TReal>(2.0) / (v * v);
const TReal c3_ = c1_ * c2_ * (u * v);
for (unsigned int i = 0; i < 3; i++)
{
for (unsigned int j = 0; j < 3; j++)
{
mtx[i][j] = - c1_ * u[i] * u[j] - c2_ * v[i] * v[j]
+ c3_ * v[i] * u[j];
}
mtx[i][i] += static_cast<TReal>(1.0);
}
}
else /* the most common case, unless "from"="to", or "from"=-"to" */
{
const aiVector3D v = from ^ to;
/* ... use this hand optimized version (9 mults less) */
const TReal h = static_cast<TReal>(1.0)/(static_cast<TReal>(1.0) + e); /* optimization by Gottfried Chen */
const TReal hvx = h * v.x;
const TReal hvz = h * v.z;
const TReal hvxy = hvx * v.y;
const TReal hvxz = hvx * v.z;
const TReal hvyz = hvz * v.y;
mtx[0][0] = e + hvx * v.x;
mtx[0][1] = hvxy - v.z;
mtx[0][2] = hvxz + v.y;
mtx[1][0] = hvxy + v.z;
mtx[1][1] = e + h * v.y * v.y;
mtx[1][2] = hvyz - v.x;
mtx[2][0] = hvxz - v.y;
mtx[2][1] = hvyz + v.x;
mtx[2][2] = e + hvz * v.z;
}
return mtx;
}
#endif // __cplusplus
#endif // AI_MATRIX3X3_INL_INC