isa/mutter
1
0
Fork 0
mirror of https://github.com/brl/mutter.git synced 2024-12-12 14:20:17 +00:00
Code Issues Packages Projects Releases Wiki Activity
bc51b8ca47
mutter/clutter/cogl/cogl/cogl-matrix-mesa.c
Robert Bragg eb438dd499 [cogl-matrix] Import Mesa's matrix manipulation code 
This pulls in code from Mesa to improve our matrix manipulation support. It
includes support for calculating the inverse of matrices based on top of a
matrix categorizing system that allows optimizing certain matrix types.
(the main thing we were after) but also adds some optimisations for
rotations.

Changes compared to the original code from Mesa:

- Coding style is consistent with the rest of Cogl
- Instead of allocating matrix->m and matrix->inv using malloc, our public
  CoglMatrix typedef is large enough to directly contain the matrix, its
  inverse, a type and a set of flags.
- Instead of having a _math_matrix_analyse which updates the type, flags and
  inverse, we have _math_matrix_update_inverse which essentially does the
  same thing (internally making use of _math_matrix_update_type_and_flags())
  but with additional guards in place to bail out when the inverse matrix is
  still valid.
- When initializing a matrix with the identity matrix we don't immediately
  initialize the inverse matrix; rather we just set the dirty flag for the
  inverse (since it's likely the user won't request the inverse of the
  identity matrix)
2009-11-04 03:34:04 +00:00

1699 lines
49 KiB
C
Raw Blame History

/*
* Cogl
*
* An object oriented GL/GLES Abstraction/Utility Layer
*
* Copyright (C) 2009 Intel Corporation.
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2 of the License, or (at your option) any later version.
*
* This library 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
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the
* Free Software Foundation, Inc., 59 Temple Place - Suite 330,
* Boston, MA 02111-1307, USA.
*/
/*
* Copyright (C) 1999-2005 Brian Paul All Rights Reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included
* in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
* OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* BRIAN PAUL BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN
* AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/
/**
* \file cogl-matrix-mesa.c
* Matrix operations.
*
* \note
* -# 4x4 transformation matrices are stored in memory in column major order.
* -# Points/vertices are to be thought of as column vectors.
* -# Transformation of a point p by a matrix M is: p' = M * p
*/
/*
* Changes compared to the original code from Mesa:
*
* - instead of allocating matrix->m and matrix->inv using malloc, our
* public CoglMatrix typedef is large enough to directly contain the
* matrix, its inverse, a type and a set of flags.
* - instead of having a _math_matrix_analyse which updates the type,
* flags and inverse, we have _math_matrix_update_inverse which
* essentially does the same thing (internally making use of
* _math_matrix_update_type_and_flags()) but with additional guards in
* place to bail out when the inverse matrix is still valid.
* - when initializing a matrix with the identity matrix we don't
* immediately initialize the inverse matrix; rather we just set the
* dirty flag for the inverse (since it's likely the user won't request
* the inverse of the identity matrix)
*/
#include "cogl-matrix-mesa.h"
#include <string.h>
#include <math.h>
#define DEG2RAD (G_PI/180.0)
/** Dot product of two 2-element vectors */
#define DOT2(A,B) ( (A)[0]*(B)[0] + (A)[1]*(B)[1] )
/** Dot product of two 3-element vectors */
#define DOT3(A,B) ( (A)[0]*(B)[0] + (A)[1]*(B)[1] + (A)[2]*(B)[2] )
#define CROSS3(N, U, V) \
do { \
(N)[0] = (U)[1]*(V)[2] - (U)[2]*(V)[1]; \
(N)[1] = (U)[2]*(V)[0] - (U)[0]*(V)[2]; \
(N)[2] = (U)[0]*(V)[1] - (U)[1]*(V)[0]; \
} while (0)
#define SUB_3V(DST, SRCA, SRCB) \
do { \
(DST)[0] = (SRCA)[0] - (SRCB)[0]; \
(DST)[1] = (SRCA)[1] - (SRCB)[1]; \
(DST)[2] = (SRCA)[2] - (SRCB)[2]; \
} while (0)
#define LEN_SQUARED_3FV( V ) ((V)[0]*(V)[0]+(V)[1]*(V)[1]+(V)[2]*(V)[2])
/**
* \defgroup MatFlags MAT_FLAG_XXX-flags
*
* Bitmasks to indicate different kinds of 4x4 matrices in CoglMatrix::flags
*/
/*@{*/
#define MAT_FLAG_IDENTITY 0 /**< is an identity matrix flag.
* (Not actually used - the identity
* matrix is identified by the absense
* of all other flags.)
*/
#define MAT_FLAG_GENERAL 0x1 /**< is a general matrix flag */
#define MAT_FLAG_ROTATION 0x2 /**< is a rotation matrix flag */
#define MAT_FLAG_TRANSLATION 0x4 /**< is a translation matrix flag */
#define MAT_FLAG_UNIFORM_SCALE 0x8 /**< is an uniform scaling matrix flag */
#define MAT_FLAG_GENERAL_SCALE 0x10 /**< is a general scaling matrix flag */
#define MAT_FLAG_GENERAL_3D 0x20 /**< general 3D matrix flag */
#define MAT_FLAG_PERSPECTIVE 0x40 /**< is a perspective proj matrix flag */
#define MAT_FLAG_SINGULAR 0x80 /**< is a singular matrix flag */
#define MAT_DIRTY_TYPE 0x100 /**< matrix type is dirty */
#define MAT_DIRTY_FLAGS 0x200 /**< matrix flags are dirty */
#define MAT_DIRTY_INVERSE 0x400 /**< matrix inverse is dirty */
/** angle preserving matrix flags mask */
#define MAT_FLAGS_ANGLE_PRESERVING (MAT_FLAG_ROTATION | \
MAT_FLAG_TRANSLATION | \
MAT_FLAG_UNIFORM_SCALE)
/** geometry related matrix flags mask */
#define MAT_FLAGS_GEOMETRY (MAT_FLAG_GENERAL | \
MAT_FLAG_ROTATION | \
MAT_FLAG_TRANSLATION | \
MAT_FLAG_UNIFORM_SCALE | \
MAT_FLAG_GENERAL_SCALE | \
MAT_FLAG_GENERAL_3D | \
MAT_FLAG_PERSPECTIVE | \
MAT_FLAG_SINGULAR)
/** length preserving matrix flags mask */
#define MAT_FLAGS_LENGTH_PRESERVING (MAT_FLAG_ROTATION | \
MAT_FLAG_TRANSLATION)
/** 3D (non-perspective) matrix flags mask */
#define MAT_FLAGS_3D (MAT_FLAG_ROTATION | \
MAT_FLAG_TRANSLATION | \
MAT_FLAG_UNIFORM_SCALE | \
MAT_FLAG_GENERAL_SCALE | \
MAT_FLAG_GENERAL_3D)
/** dirty matrix flags mask */
#define MAT_DIRTY_ALL (MAT_DIRTY_TYPE | \
MAT_DIRTY_FLAGS | \
MAT_DIRTY_INVERSE)
/*@}*/
/**
* Test geometry related matrix flags.
*
* \param mat a pointer to a CoglMatrix structure.
* \param a flags mask.
*
* \returns non-zero if all geometry related matrix flags are contained within
* the mask, or zero otherwise.
*/
#define TEST_MAT_FLAGS(mat, a) \
((MAT_FLAGS_GEOMETRY & (~(a)) & ((mat)->flags) ) == 0)
/**
* Names of the corresponding CoglMatrixType values.
*/
static const char *types[] = {
"COGL_MATRIX_TYPE_GENERAL",
"COGL_MATRIX_TYPE_IDENTITY",
"COGL_MATRIX_TYPE_3D_NO_ROT",
"COGL_MATRIX_TYPE_PERSPECTIVE",
"COGL_MATRIX_TYPE_2D",
"COGL_MATRIX_TYPE_2D_NO_ROT",
"COGL_MATRIX_TYPE_3D"
};
/**
* Identity matrix.
*/
static float identity[16] = {
1.0, 0.0, 0.0, 0.0,
0.0, 1.0, 0.0, 0.0,
0.0, 0.0, 1.0, 0.0,
0.0, 0.0, 0.0, 1.0
};
/**********************************************************************/
/** \name Matrix multiplication */
/*@{*/
#define A(row,col) a[(col<<2)+row]
#define B(row,col) b[(col<<2)+row]
#define R(row,col) result[(col<<2)+row]
/**
* Perform a full 4x4 matrix multiplication.
*
* \param a matrix.
* \param b matrix.
* \param product will receive the product of \p a and \p b.
*
* \warning Is assumed that \p product != \p b. \p product == \p a is allowed.
*
* \note KW: 4*16 = 64 multiplications
*
* \author This \c matmul was contributed by Thomas Malik
*/
static void
matrix_multiply4x4 (float *result, const float *a, const float *b)
{
int i;
for (i = 0; i < 4; i++)
{
const float ai0 = A(i,0), ai1=A(i,1), ai2=A(i,2), ai3=A(i,3);
R(i,0) = ai0 * B(0,0) + ai1 * B(1,0) + ai2 * B(2,0) + ai3 * B(3,0);
R(i,1) = ai0 * B(0,1) + ai1 * B(1,1) + ai2 * B(2,1) + ai3 * B(3,1);
R(i,2) = ai0 * B(0,2) + ai1 * B(1,2) + ai2 * B(2,2) + ai3 * B(3,2);
R(i,3) = ai0 * B(0,3) + ai1 * B(1,3) + ai2 * B(2,3) + ai3 * B(3,3);
}
}
/**
* Multiply two matrices known to occupy only the top three rows, such
* as typical model matrices, and orthogonal matrices.
*
* \param a matrix.
* \param b matrix.
* \param product will receive the product of \p a and \p b.
*/
static void
matrix_multiply3x4 (float *result, const float *a, const float *b)
{
int i;
for (i = 0; i < 3; i++)
{
const float ai0 = A(i,0), ai1 = A(i,1), ai2 = A(i,2), ai3 = A(i,3);
R(i,0) = ai0 * B(0,0) + ai1 * B(1,0) + ai2 * B(2,0);
R(i,1) = ai0 * B(0,1) + ai1 * B(1,1) + ai2 * B(2,1);
R(i,2) = ai0 * B(0,2) + ai1 * B(1,2) + ai2 * B(2,2);
R(i,3) = ai0 * B(0,3) + ai1 * B(1,3) + ai2 * B(2,3) + ai3;
}
R(3,0) = 0;
R(3,1) = 0;
R(3,2) = 0;
R(3,3) = 1;
}
#undef A
#undef B
#undef R
/**
* Multiply a matrix by an array of floats with known properties.
*
* \param mat pointer to a CoglMatrix structure containing the left multiplication
* matrix, and that will receive the product result.
* \param m right multiplication matrix array.
* \param flags flags of the matrix \p m.
*
* Joins both flags and marks the type and inverse as dirty. Calls
* matrix_multiply3x4() if both matrices are 3D, or matrix_multiply4x4()
* otherwise.
*/
static void
matrix_multiply_array_with_flags (CoglMatrix *result,
const float *array,
unsigned int flags)
{
result->flags |= (flags | MAT_DIRTY_TYPE | MAT_DIRTY_INVERSE);
if (TEST_MAT_FLAGS (result, MAT_FLAGS_3D))
matrix_multiply3x4 ((float *)result, (float *)result, array);
else
matrix_multiply4x4 ((float *)result, (float *)result, array);
}
/**
* Matrix multiplication.
*
* \param dest destination matrix.
* \param a left matrix.
* \param b right matrix.
*
* Joins both flags and marks the type and inverse as dirty. Calls
* matrix_multiply3x4() if both matrices are 3D, or matrix_multiply4x4()
* otherwise.
*/
void
_math_matrix_multiply (CoglMatrix *result,
const CoglMatrix *a,
const CoglMatrix *b)
{
result->flags = (a->flags |
b->flags |
MAT_DIRTY_TYPE |
MAT_DIRTY_INVERSE);
if (TEST_MAT_FLAGS(result, MAT_FLAGS_3D))
matrix_multiply3x4 ((float *)result, (float *)a, (float *)b);
else
matrix_multiply4x4 ((float *)result, (float *)a, (float *)b);
}
/**
* Matrix multiplication.
*
* \param dest left and destination matrix.
* \param m right matrix array.
*
* Marks the matrix flags with general flag, and type and inverse dirty flags.
* Calls matrix_multiply4x4() for the multiplication.
*/
void
_math_matrix_multiply_array (CoglMatrix *result, const float *array)
{
result->flags |= (MAT_FLAG_GENERAL |
MAT_DIRTY_TYPE |
MAT_DIRTY_INVERSE |
MAT_DIRTY_FLAGS);
matrix_multiply4x4 ((float *)result, (float *)result, (float *)array);
}
/*@}*/
/**********************************************************************/
/** \name Matrix output */
/*@{*/
/**
* Print a matrix array.
*
* \param m matrix array.
*
* Called by _math_matrix_print() to print a matrix or its inverse.
*/
static void
print_matrix_floats (const float m[16])
{
int i;
for (i = 0;i < 4; i++)
g_print ("\t%f %f %f %f\n", m[i], m[4+i], m[8+i], m[12+i] );
}
/**
* Dumps the contents of a CoglMatrix structure.
*
* \param m pointer to the CoglMatrix structure.
*/
void
_math_matrix_print (const CoglMatrix *matrix)
{
g_print ("Matrix type: %s, flags: %x\n",
types[matrix->type], (int)matrix->flags);
print_matrix_floats ((float *)matrix);
g_print ("Inverse: \n");
if (!(matrix->flags & MAT_DIRTY_INVERSE))
{
float prod[16];
print_matrix_floats (matrix->inv);
matrix_multiply4x4 (prod, (float *)matrix, matrix->inv);
g_print ("Mat * Inverse:\n");
print_matrix_floats (prod);
}
else
g_print (" - not available\n");
}
/*@}*/
/**
* References an element of 4x4 matrix.
*
* \param m matrix array.
* \param c column of the desired element.
* \param r row of the desired element.
*
* \return value of the desired element.
*
* Calculate the linear storage index of the element and references it.
*/
#define MAT(m,r,c) (m)[(c)*4+(r)]
/**********************************************************************/
/** \name Matrix inversion */
/*@{*/
/**
* Swaps the values of two floating pointer variables.
*
* Used by invert_matrix_general() to swap the row pointers.
*/
#define SWAP_ROWS(a, b) { float *_tmp = a; (a)=(b); (b)=_tmp; }
/**
* Compute inverse of 4x4 transformation matrix.
*
* \param mat pointer to a CoglMatrix structure. The matrix inverse will be
* stored in the CoglMatrix::inv attribute.
*
* \return TRUE for success, FALSE for failure (\p singular matrix).
*
* \author
* Code contributed by Jacques Leroy jle@star.be
*
* Calculates the inverse matrix by performing the gaussian matrix reduction
* with partial pivoting followed by back/substitution with the loops manually
* unrolled.
*/
static gboolean
invert_matrix_general (CoglMatrix *matrix)
{
const float *m = (float *)matrix;
float *out = matrix->inv;
float wtmp[4][8];
float m0, m1, m2, m3, s;
float *r0, *r1, *r2, *r3;
r0 = wtmp[0], r1 = wtmp[1], r2 = wtmp[2], r3 = wtmp[3];
r0[0] = MAT (m, 0, 0), r0[1] = MAT (m, 0, 1),
r0[2] = MAT (m, 0, 2), r0[3] = MAT (m, 0, 3),
r0[4] = 1.0, r0[5] = r0[6] = r0[7] = 0.0,
r1[0] = MAT (m, 1, 0), r1[1] = MAT (m, 1, 1),
r1[2] = MAT (m, 1, 2), r1[3] = MAT (m, 1, 3),
r1[5] = 1.0, r1[4] = r1[6] = r1[7] = 0.0,
r2[0] = MAT (m, 2, 0), r2[1] = MAT (m, 2, 1),
r2[2] = MAT (m, 2, 2), r2[3] = MAT (m, 2, 3),
r2[6] = 1.0, r2[4] = r2[5] = r2[7] = 0.0,
r3[0] = MAT (m, 3, 0), r3[1] = MAT (m, 3, 1),
r3[2] = MAT (m, 3, 2), r3[3] = MAT (m, 3, 3),
r3[7] = 1.0, r3[4] = r3[5] = r3[6] = 0.0;
/* choose pivot - or die */
if (fabsf (r3[0]) > fabsf (r2[0]))
SWAP_ROWS (r3, r2);
if (fabsf (r2[0]) > fabsf (r1[0]))
SWAP_ROWS (r2, r1);
if (fabsf (r1[0]) > fabsf (r0[0]))
SWAP_ROWS (r1, r0);
if (0.0 == r0[0])
return FALSE;
/* eliminate first variable */
m1 = r1[0]/r0[0]; m2 = r2[0]/r0[0]; m3 = r3[0]/r0[0];
s = r0[1]; r1[1] -= m1 * s; r2[1] -= m2 * s; r3[1] -= m3 * s;
s = r0[2]; r1[2] -= m1 * s; r2[2] -= m2 * s; r3[2] -= m3 * s;
s = r0[3]; r1[3] -= m1 * s; r2[3] -= m2 * s; r3[3] -= m3 * s;
s = r0[4];
if (s != 0.0) { r1[4] -= m1 * s; r2[4] -= m2 * s; r3[4] -= m3 * s; }
s = r0[5];
if (s != 0.0) { r1[5] -= m1 * s; r2[5] -= m2 * s; r3[5] -= m3 * s; }
s = r0[6];
if (s != 0.0) { r1[6] -= m1 * s; r2[6] -= m2 * s; r3[6] -= m3 * s; }
s = r0[7];
if (s != 0.0) { r1[7] -= m1 * s; r2[7] -= m2 * s; r3[7] -= m3 * s; }
/* choose pivot - or die */
if (fabsf (r3[1]) > fabsf (r2[1]))
SWAP_ROWS (r3, r2);
if (fabsf (r2[1]) > fabsf (r1[1]))
SWAP_ROWS (r2, r1);
if (0.0 == r1[1])
return FALSE;
/* eliminate second variable */
m2 = r2[1] / r1[1]; m3 = r3[1] / r1[1];
r2[2] -= m2 * r1[2]; r3[2] -= m3 * r1[2];
r2[3] -= m2 * r1[3]; r3[3] -= m3 * r1[3];
s = r1[4]; if (0.0 != s) { r2[4] -= m2 * s; r3[4] -= m3 * s; }
s = r1[5]; if (0.0 != s) { r2[5] -= m2 * s; r3[5] -= m3 * s; }
s = r1[6]; if (0.0 != s) { r2[6] -= m2 * s; r3[6] -= m3 * s; }
s = r1[7]; if (0.0 != s) { r2[7] -= m2 * s; r3[7] -= m3 * s; }
/* choose pivot - or die */
if (fabsf (r3[2]) > fabsf (r2[2]))
SWAP_ROWS (r3, r2);
if (0.0 == r2[2])
return FALSE;
/* eliminate third variable */
m3 = r3[2] / r2[2];
r3[3] -= m3 * r2[3], r3[4] -= m3 * r2[4],
r3[5] -= m3 * r2[5], r3[6] -= m3 * r2[6],
r3[7] -= m3 * r2[7];
/* last check */
if (0.0 == r3[3])
return FALSE;
s = 1.0f / r3[3]; /* now back substitute row 3 */
r3[4] *= s; r3[5] *= s; r3[6] *= s; r3[7] *= s;
m2 = r2[3]; /* now back substitute row 2 */
s = 1.0f / r2[2];
r2[4] = s * (r2[4] - r3[4] * m2), r2[5] = s * (r2[5] - r3[5] * m2),
r2[6] = s * (r2[6] - r3[6] * m2), r2[7] = s * (r2[7] - r3[7] * m2);
m1 = r1[3];
r1[4] -= r3[4] * m1, r1[5] -= r3[5] * m1,
r1[6] -= r3[6] * m1, r1[7] -= r3[7] * m1;
m0 = r0[3];
r0[4] -= r3[4] * m0, r0[5] -= r3[5] * m0,
r0[6] -= r3[6] * m0, r0[7] -= r3[7] * m0;
m1 = r1[2]; /* now back substitute row 1 */
s = 1.0f / r1[1];
r1[4] = s * (r1[4] - r2[4] * m1), r1[5] = s * (r1[5] - r2[5] * m1),
r1[6] = s * (r1[6] - r2[6] * m1), r1[7] = s * (r1[7] - r2[7] * m1);
m0 = r0[2];
r0[4] -= r2[4] * m0, r0[5] -= r2[5] * m0,
r0[6] -= r2[6] * m0, r0[7] -= r2[7] * m0;
m0 = r0[1]; /* now back substitute row 0 */
s = 1.0f / r0[0];
r0[4] = s * (r0[4] - r1[4] * m0), r0[5] = s * (r0[5] - r1[5] * m0),
r0[6] = s * (r0[6] - r1[6] * m0), r0[7] = s * (r0[7] - r1[7] * m0);
MAT (out, 0, 0) = r0[4]; MAT (out, 0, 1) = r0[5],
MAT (out, 0, 2) = r0[6]; MAT (out, 0, 3) = r0[7],
MAT (out, 1, 0) = r1[4]; MAT (out, 1, 1) = r1[5],
MAT (out, 1, 2) = r1[6]; MAT (out, 1, 3) = r1[7],
MAT (out, 2, 0) = r2[4]; MAT (out, 2, 1) = r2[5],
MAT (out, 2, 2) = r2[6]; MAT (out, 2, 3) = r2[7],
MAT (out, 3, 0) = r3[4]; MAT (out, 3, 1) = r3[5],
MAT (out, 3, 2) = r3[6]; MAT (out, 3, 3) = r3[7];
return TRUE;
}
#undef SWAP_ROWS
/**
* Compute inverse of a general 3d transformation matrix.
*
* \param mat pointer to a CoglMatrix structure. The matrix inverse will be
* stored in the CoglMatrix::inv attribute.
*
* \return TRUE for success, FALSE for failure (\p singular matrix).
*
* \author Adapted from graphics gems II.
*
* Calculates the inverse of the upper left by first calculating its
* determinant and multiplying it to the symmetric adjust matrix of each
* element. Finally deals with the translation part by transforming the
* original translation vector using by the calculated submatrix inverse.
*/
static gboolean
invert_matrix_3d_general (CoglMatrix *matrix)
{
const float *in = (float *)matrix;
float *out = matrix->inv;
float pos, neg, t;
float det;
/* Calculate the determinant of upper left 3x3 submatrix and
* determine if the matrix is singular.
*/
pos = neg = 0.0;
t = MAT (in,0,0) * MAT (in,1,1) * MAT (in,2,2);
if (t >= 0.0) pos += t; else neg += t;
t = MAT (in,1,0) * MAT (in,2,1) * MAT (in,0,2);
if (t >= 0.0) pos += t; else neg += t;
t = MAT (in,2,0) * MAT (in,0,1) * MAT (in,1,2);
if (t >= 0.0) pos += t; else neg += t;
t = -MAT (in,2,0) * MAT (in,1,1) * MAT (in,0,2);
if (t >= 0.0) pos += t; else neg += t;
t = -MAT (in,1,0) * MAT (in,0,1) * MAT (in,2,2);
if (t >= 0.0) pos += t; else neg += t;
t = -MAT (in,0,0) * MAT (in,2,1) * MAT (in,1,2);
if (t >= 0.0) pos += t; else neg += t;
det = pos + neg;
if (det*det < 1e-25)
return FALSE;
det = 1.0f / det;
MAT (out,0,0) =
( (MAT (in, 1, 1)*MAT (in, 2, 2) - MAT (in, 2, 1)*MAT (in, 1, 2) )*det);
MAT (out,0,1) =
(- (MAT (in, 0, 1)*MAT (in, 2, 2) - MAT (in, 2, 1)*MAT (in, 0, 2) )*det);
MAT (out,0,2) =
( (MAT (in, 0, 1)*MAT (in, 1, 2) - MAT (in, 1, 1)*MAT (in, 0, 2) )*det);
MAT (out,1,0) =
(- (MAT (in,1,0)*MAT (in,2,2) - MAT (in,2,0)*MAT (in,1,2) )*det);
MAT (out,1,1) =
( (MAT (in,0,0)*MAT (in,2,2) - MAT (in,2,0)*MAT (in,0,2) )*det);
MAT (out,1,2) =
(- (MAT (in,0,0)*MAT (in,1,2) - MAT (in,1,0)*MAT (in,0,2) )*det);
MAT (out,2,0) =
( (MAT (in,1,0)*MAT (in,2,1) - MAT (in,2,0)*MAT (in,1,1) )*det);
MAT (out,2,1) =
(- (MAT (in,0,0)*MAT (in,2,1) - MAT (in,2,0)*MAT (in,0,1) )*det);
MAT (out,2,2) =
( (MAT (in,0,0)*MAT (in,1,1) - MAT (in,1,0)*MAT (in,0,1) )*det);
/* Do the translation part */
MAT (out,0,3) = - (MAT (in, 0, 3) * MAT (out, 0, 0) +
MAT (in, 1, 3) * MAT (out, 0, 1) +
MAT (in, 2, 3) * MAT (out, 0, 2) );
MAT (out,1,3) = - (MAT (in, 0, 3) * MAT (out, 1, 0) +
MAT (in, 1, 3) * MAT (out, 1, 1) +
MAT (in, 2, 3) * MAT (out, 1, 2) );
MAT (out,2,3) = - (MAT (in, 0, 3) * MAT (out, 2 ,0) +
MAT (in, 1, 3) * MAT (out, 2, 1) +
MAT (in, 2, 3) * MAT (out, 2, 2) );
return TRUE;
}
/**
* Compute inverse of a 3d transformation matrix.
*
* \param mat pointer to a CoglMatrix structure. The matrix inverse will be
* stored in the CoglMatrix::inv attribute.
*
* \return TRUE for success, FALSE for failure (\p singular matrix).
*
* If the matrix is not an angle preserving matrix then calls
* invert_matrix_3d_general for the actual calculation. Otherwise calculates
* the inverse matrix analyzing and inverting each of the scaling, rotation and
* translation parts.
*/
static gboolean
invert_matrix_3d (CoglMatrix *matrix)
{
const float *in = (float *)matrix;
float *out = matrix->inv;
if (!TEST_MAT_FLAGS(matrix, MAT_FLAGS_ANGLE_PRESERVING))
return invert_matrix_3d_general (matrix);
if (matrix->flags & MAT_FLAG_UNIFORM_SCALE)
{
float scale = (MAT (in, 0, 0) * MAT (in, 0, 0) +
MAT (in, 0, 1) * MAT (in, 0, 1) +
MAT (in, 0, 2) * MAT (in, 0, 2));
if (scale == 0.0)
return FALSE;
scale = 1.0f / scale;
/* Transpose and scale the 3 by 3 upper-left submatrix. */
MAT (out, 0, 0) = scale * MAT (in, 0, 0);
MAT (out, 1, 0) = scale * MAT (in, 0, 1);
MAT (out, 2, 0) = scale * MAT (in, 0, 2);
MAT (out, 0, 1) = scale * MAT (in, 1, 0);
MAT (out, 1, 1) = scale * MAT (in, 1, 1);
MAT (out, 2, 1) = scale * MAT (in, 1, 2);
MAT (out, 0, 2) = scale * MAT (in, 2, 0);
MAT (out, 1, 2) = scale * MAT (in, 2, 1);
MAT (out, 2, 2) = scale * MAT (in, 2, 2);
}
else if (matrix->flags & MAT_FLAG_ROTATION)
{
/* Transpose the 3 by 3 upper-left submatrix. */
MAT (out, 0, 0) = MAT (in, 0, 0);
MAT (out, 1, 0) = MAT (in, 0, 1);
MAT (out, 2, 0) = MAT (in, 0, 2);
MAT (out, 0, 1) = MAT (in, 1, 0);
MAT (out, 1, 1) = MAT (in, 1, 1);
MAT (out, 2, 1) = MAT (in, 1, 2);
MAT (out, 0, 2) = MAT (in, 2, 0);
MAT (out, 1, 2) = MAT (in, 2, 1);
MAT (out, 2, 2) = MAT (in, 2, 2);
}
else
{
/* pure translation */
memcpy (out, identity, 16 * sizeof (float));
MAT (out, 0, 3) = - MAT (in, 0, 3);
MAT (out, 1, 3) = - MAT (in, 1, 3);
MAT (out, 2, 3) = - MAT (in, 2, 3);
return TRUE;
}
if (matrix->flags & MAT_FLAG_TRANSLATION)
{
/* Do the translation part */
MAT (out,0,3) = - (MAT (in, 0, 3) * MAT (out, 0, 0) +
MAT (in, 1, 3) * MAT (out, 0, 1) +
MAT (in, 2, 3) * MAT (out, 0, 2) );
MAT (out,1,3) = - (MAT (in, 0, 3) * MAT (out, 1, 0) +
MAT (in, 1, 3) * MAT (out, 1, 1) +
MAT (in, 2, 3) * MAT (out, 1, 2) );
MAT (out,2,3) = - (MAT (in, 0, 3) * MAT (out, 2, 0) +
MAT (in, 1, 3) * MAT (out, 2, 1) +
MAT (in, 2, 3) * MAT (out, 2, 2) );
}
else
MAT (out, 0, 3) = MAT (out, 1, 3) = MAT (out, 2, 3) = 0.0;
return TRUE;
}
/**
* Compute inverse of an identity transformation matrix.
*
* \param mat pointer to a CoglMatrix structure. The matrix inverse will be
* stored in the CoglMatrix::inv attribute.
*
* \return always TRUE.
*
* Simply copies identity into CoglMatrix::inv.
*/
static gboolean
invert_matrix_identity (CoglMatrix *matrix)
{
memcpy (matrix->inv, identity, 16 * sizeof (float));
return TRUE;
}
/**
* Compute inverse of a no-rotation 3d transformation matrix.
*
* \param mat pointer to a CoglMatrix structure. The matrix inverse will be
* stored in the CoglMatrix::inv attribute.
*
* \return TRUE for success, FALSE for failure (\p singular matrix).
*
* Calculates the
*/
static gboolean
invert_matrix_3d_no_rotation (CoglMatrix *matrix)
{
const float *in = (float *)matrix;
float *out = matrix->inv;
if (MAT (in,0,0) == 0 || MAT (in,1,1) == 0 || MAT (in,2,2) == 0)
return FALSE;
memcpy (out, identity, 16 * sizeof (float));
MAT (out,0,0) = 1.0f / MAT (in,0,0);
MAT (out,1,1) = 1.0f / MAT (in,1,1);
MAT (out,2,2) = 1.0f / MAT (in,2,2);
if (matrix->flags & MAT_FLAG_TRANSLATION)
{
MAT (out,0,3) = - (MAT (in,0,3) * MAT (out,0,0));
MAT (out,1,3) = - (MAT (in,1,3) * MAT (out,1,1));
MAT (out,2,3) = - (MAT (in,2,3) * MAT (out,2,2));
}
return TRUE;
}
/**
* Compute inverse of a no-rotation 2d transformation matrix.
*
* \param mat pointer to a CoglMatrix structure. The matrix inverse will be
* stored in the CoglMatrix::inv attribute.
*
* \return TRUE for success, FALSE for failure (\p singular matrix).
*
* Calculates the inverse matrix by applying the inverse scaling and
* translation to the identity matrix.
*/
static gboolean
invert_matrix_2d_no_rotation (CoglMatrix *matrix)
{
const float *in = (float *)matrix;
float *out = matrix->inv;
if (MAT (in, 0, 0) == 0 || MAT (in, 1, 1) == 0)
return FALSE;
memcpy (out, identity, 16 * sizeof (float));
MAT (out, 0, 0) = 1.0f / MAT (in, 0, 0);
MAT (out, 1, 1) = 1.0f / MAT (in, 1, 1);
if (matrix->flags & MAT_FLAG_TRANSLATION)
{
MAT (out, 0, 3) = - (MAT (in, 0, 3) * MAT (out, 0, 0));
MAT (out, 1, 3) = - (MAT (in, 1, 3) * MAT (out, 1, 1));
}
return TRUE;
}
#if 0
/* broken */
static gboolean
invert_matrix_perspective (CoglMatrix *matrix)
{
const float *in = matrix;
float *out = matrix->inv;
if (MAT (in,2,3) == 0)
return FALSE;
memcpy( out, identity, 16 * sizeof(float) );
MAT (out, 0, 0) = 1.0f / MAT (in, 0, 0);
MAT (out, 1, 1) = 1.0f / MAT (in, 1, 1);
MAT (out, 0, 3) = MAT (in, 0, 2);
MAT (out, 1, 3) = MAT (in, 1, 2);
MAT (out,2,2) = 0;
MAT (out,2,3) = -1;
MAT (out,3,2) = 1.0f / MAT (in,2,3);
MAT (out,3,3) = MAT (in,2,2) * MAT (out,3,2);
return TRUE;
}
#endif
/**
* Matrix inversion function pointer type.
*/
typedef gboolean (*inv_mat_func)(CoglMatrix *matrix);
/**
* Table of the matrix inversion functions according to the matrix type.
*/
static inv_mat_func inv_mat_tab[7] = {
invert_matrix_general,
invert_matrix_identity,
invert_matrix_3d_no_rotation,
#if 0
/* Don't use this function for now - it fails when the projection matrix
* is premultiplied by a translation (ala Chromium's tilesort SPU).
*/
invert_matrix_perspective,
#else
invert_matrix_general,
#endif
invert_matrix_3d, /* lazy! */
invert_matrix_2d_no_rotation,
invert_matrix_3d
};
/**
* Compute inverse of a transformation matrix.
*
* \param mat pointer to a CoglMatrix structure. The matrix inverse will be
* stored in the CoglMatrix::inv attribute.
*
* \return TRUE for success, FALSE for failure (\p singular matrix).
*
* Calls the matrix inversion function in inv_mat_tab corresponding to the
* given matrix type. In case of failure, updates the MAT_FLAG_SINGULAR flag,
* and copies the identity matrix into CoglMatrix::inv.
*/
gboolean
_math_matrix_update_inverse (CoglMatrix *matrix)
{
if (matrix->flags & MAT_DIRTY_FLAGS ||
matrix->flags & MAT_DIRTY_INVERSE)
{
_math_matrix_update_type_and_flags (matrix);
if (inv_mat_tab[matrix->type](matrix))
matrix->flags &= ~MAT_FLAG_SINGULAR;
else
{
matrix->flags |= MAT_FLAG_SINGULAR;
memcpy (matrix->inv, identity, 16 * sizeof (float));
}
matrix->flags &= ~MAT_DIRTY_INVERSE;
}
if (matrix->flags & MAT_FLAG_SINGULAR)
return FALSE;
else
return TRUE;
}
/*@}*/
/**********************************************************************/
/** \name Matrix generation */
/*@{*/
/**
* Generate a 4x4 transformation matrix from glRotate parameters, and
* post-multiply the input matrix by it.
*
* \author
* This function was contributed by Erich Boleyn (erich@uruk.org).
* Optimizations contributed by Rudolf Opalla (rudi@khm.de).
*/
void
_math_matrix_rotate (CoglMatrix *matrix,
float angle,
float x,
float y,
float z)
{
float xx, yy, zz, xy, yz, zx, xs, ys, zs, one_c, s, c;
float m[16];
gboolean optimized;
s = sinf (angle * DEG2RAD);
c = cosf (angle * DEG2RAD);
memcpy (m, identity, 16 * sizeof (float));
optimized = FALSE;
#define M(row,col) m[col*4+row]
if (x == 0.0f)
{
if (y == 0.0f)
{
if (z != 0.0f)
{
optimized = TRUE;
/* rotate only around z-axis */
M (0,0) = c;
M (1,1) = c;
if (z < 0.0f)
{
M (0,1) = s;
M (1,0) = -s;
}
else
{
M (0,1) = -s;
M (1,0) = s;
}
}
}
else if (z == 0.0f)
{
optimized = TRUE;
/* rotate only around y-axis */
M (0,0) = c;
M (2,2) = c;
if (y < 0.0f)
{
M (0,2) = -s;
M (2,0) = s;
}
else
{
M (0,2) = s;
M (2,0) = -s;
}
}
}
else if (y == 0.0f)
{
if (z == 0.0f)
{
optimized = TRUE;
/* rotate only around x-axis */
M (1,1) = c;
M (2,2) = c;
if (x < 0.0f)
{
M (1,2) = s;
M (2,1) = -s;
}
else
{
M (1,2) = -s;
M (2,1) = s;
}
}
}
if (!optimized)
{
const float mag = sqrtf (x * x + y * y + z * z);
if (mag <= 1.0e-4)
{
/* no rotation, leave mat as-is */
return;
}
x /= mag;
y /= mag;
z /= mag;
/*
* Arbitrary axis rotation matrix.
*
* This is composed of 5 matrices, Rz, Ry, T, Ry', Rz', multiplied
* like so: Rz * Ry * T * Ry' * Rz'. T is the final rotation
* (which is about the X-axis), and the two composite transforms
* Ry' * Rz' and Rz * Ry are (respectively) the rotations necessary
* from the arbitrary axis to the X-axis then back. They are
* all elementary rotations.
*
* Rz' is a rotation about the Z-axis, to bring the axis vector
* into the x-z plane. Then Ry' is applied, rotating about the
* Y-axis to bring the axis vector parallel with the X-axis. The
* rotation about the X-axis is then performed. Ry and Rz are
* simply the respective inverse transforms to bring the arbitrary
* axis back to it's original orientation. The first transforms
* Rz' and Ry' are considered inverses, since the data from the
* arbitrary axis gives you info on how to get to it, not how
* to get away from it, and an inverse must be applied.
*
* The basic calculation used is to recognize that the arbitrary
* axis vector (x, y, z), since it is of unit length, actually
* represents the sines and cosines of the angles to rotate the
* X-axis to the same orientation, with theta being the angle about
* Z and phi the angle about Y (in the order described above)
* as follows:
*
* cos ( theta ) = x / sqrt ( 1 - z^2 )
* sin ( theta ) = y / sqrt ( 1 - z^2 )
*
* cos ( phi ) = sqrt ( 1 - z^2 )
* sin ( phi ) = z
*
* Note that cos ( phi ) can further be inserted to the above
* formulas:
*
* cos ( theta ) = x / cos ( phi )
* sin ( theta ) = y / sin ( phi )
*
* ...etc. Because of those relations and the standard trigonometric
* relations, it is pssible to reduce the transforms down to what
* is used below. It may be that any primary axis chosen will give the
* same results (modulo a sign convention) using thie method.
*
* Particularly nice is to notice that all divisions that might
* have caused trouble when parallel to certain planes or
* axis go away with care paid to reducing the expressions.
* After checking, it does perform correctly under all cases, since
* in all the cases of division where the denominator would have
* been zero, the numerator would have been zero as well, giving
* the expected result.
*/
xx = x * x;
yy = y * y;
zz = z * z;
xy = x * y;
yz = y * z;
zx = z * x;
xs = x * s;
ys = y * s;
zs = z * s;
one_c = 1.0f - c;
/* We already hold the identity-matrix so we can skip some statements */
M (0,0) = (one_c * xx) + c;
M (0,1) = (one_c * xy) - zs;
M (0,2) = (one_c * zx) + ys;
/* M (0,3) = 0.0f; */
M (1,0) = (one_c * xy) + zs;
M (1,1) = (one_c * yy) + c;
M (1,2) = (one_c * yz) - xs;
/* M (1,3) = 0.0f; */
M (2,0) = (one_c * zx) - ys;
M (2,1) = (one_c * yz) + xs;
M (2,2) = (one_c * zz) + c;
/* M (2,3) = 0.0f; */
/*
M (3,0) = 0.0f;
M (3,1) = 0.0f;
M (3,2) = 0.0f;
M (3,3) = 1.0f;
*/
}
#undef M
matrix_multiply_array_with_flags (matrix, m, MAT_FLAG_ROTATION);
}
/**
* Apply a perspective projection matrix.
*
* \param mat matrix to apply the projection.
* \param left left clipping plane coordinate.
* \param right right clipping plane coordinate.
* \param bottom bottom clipping plane coordinate.
* \param top top clipping plane coordinate.
* \param nearval distance to the near clipping plane.
* \param farval distance to the far clipping plane.
*
* Creates the projection matrix and multiplies it with \p mat, marking the
* MAT_FLAG_PERSPECTIVE flag.
*/
void
_math_matrix_frustum (CoglMatrix *matrix,
float left,
float right,
float bottom,
float top,
float nearval,
float farval)
{
float x, y, a, b, c, d;
float m[16];
x = (2.0f * nearval) / (right - left);
y = (2.0f * nearval) / (top - bottom);
a = (right + left) / (right - left);
b = (top + bottom) / (top - bottom);
c = -(farval + nearval) / ( farval - nearval);
d = -(2.0f * farval * nearval) / (farval - nearval); /* error? */
#define M(row,col) m[col*4+row]
M (0,0) = x; M (0,1) = 0.0f; M (0,2) = a; M (0,3) = 0.0f;
M (1,0) = 0.0f; M (1,1) = y; M (1,2) = b; M (1,3) = 0.0f;
M (2,0) = 0.0f; M (2,1) = 0.0f; M (2,2) = c; M (2,3) = d;
M (3,0) = 0.0f; M (3,1) = 0.0f; M (3,2) = -1.0f; M (3,3) = 0.0f;
#undef M
matrix_multiply_array_with_flags (matrix, m, MAT_FLAG_PERSPECTIVE);
}
/**
* Apply an orthographic projection matrix.
*
* \param mat matrix to apply the projection.
* \param left left clipping plane coordinate.
* \param right right clipping plane coordinate.
* \param bottom bottom clipping plane coordinate.
* \param top top clipping plane coordinate.
* \param nearval distance to the near clipping plane.
* \param farval distance to the far clipping plane.
*
* Creates the projection matrix and multiplies it with \p mat, marking the
* MAT_FLAG_GENERAL_SCALE and MAT_FLAG_TRANSLATION flags.
*/
void
_math_matrix_ortho (CoglMatrix *matrix,
float left,
float right,
float bottom,
float top,
float nearval,
float farval)
{
float m[16];
#define M(row,col) m[col*4+row]
M (0,0) = 2.0f / (right-left);
M (0,1) = 0.0f;
M (0,2) = 0.0f;
M (0,3) = -(right+left) / (right-left);
M (1,0) = 0.0f;
M (1,1) = 2.0f / (top-bottom);
M (1,2) = 0.0f;
M (1,3) = -(top+bottom) / (top-bottom);
M (2,0) = 0.0f;
M (2,1) = 0.0f;
M (2,2) = -2.0f / (farval-nearval);
M (2,3) = -(farval+nearval) / (farval-nearval);
M (3,0) = 0.0f;
M (3,1) = 0.0f;
M (3,2) = 0.0f;
M (3,3) = 1.0f;
#undef M
matrix_multiply_array_with_flags (matrix, m,
(MAT_FLAG_GENERAL_SCALE |
MAT_FLAG_TRANSLATION));
}
/**
* Multiply a matrix with a general scaling matrix.
*
* \param mat matrix.
* \param x x axis scale factor.
* \param y y axis scale factor.
* \param z z axis scale factor.
*
* Multiplies in-place the elements of \p mat by the scale factors. Checks if
* the scales factors are roughly the same, marking the MAT_FLAG_UNIFORM_SCALE
* flag, or MAT_FLAG_GENERAL_SCALE. Marks the MAT_DIRTY_TYPE and
* MAT_DIRTY_INVERSE dirty flags.
*/
void
_math_matrix_scale (CoglMatrix *matrix, float x, float y, float z)
{
float *m = (float *)matrix;
m[0] *= x; m[4] *= y; m[8] *= z;
m[1] *= x; m[5] *= y; m[9] *= z;
m[2] *= x; m[6] *= y; m[10] *= z;
m[3] *= x; m[7] *= y; m[11] *= z;
if (fabsf (x - y) < 1e-8 && fabsf (x - z) < 1e-8)
matrix->flags |= MAT_FLAG_UNIFORM_SCALE;
else
matrix->flags |= MAT_FLAG_GENERAL_SCALE;
matrix->flags |= (MAT_DIRTY_TYPE | MAT_DIRTY_INVERSE);
}
/**
* Multiply a matrix with a translation matrix.
*
* \param mat matrix.
* \param x translation vector x coordinate.
* \param y translation vector y coordinate.
* \param z translation vector z coordinate.
*
* Adds the translation coordinates to the elements of \p mat in-place. Marks
* the MAT_FLAG_TRANSLATION flag, and the MAT_DIRTY_TYPE and MAT_DIRTY_INVERSE
* dirty flags.
*/
void
_math_matrix_translate (CoglMatrix *matrix, float x, float y, float z)
{
float *m = (float *)matrix;
m[12] = m[0] * x + m[4] * y + m[8] * z + m[12];
m[13] = m[1] * x + m[5] * y + m[9] * z + m[13];
m[14] = m[2] * x + m[6] * y + m[10] * z + m[14];
m[15] = m[3] * x + m[7] * y + m[11] * z + m[15];
matrix->flags |= (MAT_FLAG_TRANSLATION |
MAT_DIRTY_TYPE |
MAT_DIRTY_INVERSE);
}
/**
* Set matrix to do viewport and depthrange mapping.
* Transforms Normalized Device Coords to window/Z values.
*/
void
_math_matrix_viewport (CoglMatrix *matrix, int x, int y, int width, int height,
float zNear, float zFar, float depthMax)
{
float *m = (float *)matrix;
m[MAT_SX] = (float)width / 2.0f;
m[MAT_TX] = m[MAT_SX] + x;
m[MAT_SY] = (float) height / 2.0f;
m[MAT_TY] = m[MAT_SY] + y;
m[MAT_SZ] = depthMax * ((zFar - zNear) / 2.0f);
m[MAT_TZ] = depthMax * ((zFar - zNear) / 2.0f + zNear);
matrix->flags = MAT_FLAG_GENERAL_SCALE | MAT_FLAG_TRANSLATION;
matrix->type = COGL_MATRIX_TYPE_3D_NO_ROT;
}
/**
* Set a matrix to the identity matrix.
*
* \param mat matrix.
*
* Copies ::identity into \p CoglMatrix::m, and into CoglMatrix::inv if
* not NULL. Sets the matrix type to identity, resets the flags. It
* doesn't initialize the inverse matrix, it just marks it dirty.
*/
void
_math_matrix_init_identity (CoglMatrix *matrix)
{
memcpy (matrix, identity, 16 * sizeof (float));
matrix->type = COGL_MATRIX_TYPE_IDENTITY;
matrix->flags = MAT_DIRTY_INVERSE;
}
/*@}*/
/**********************************************************************/
/** \name Matrix analysis */
/*@{*/
#define ZERO(x) (1<<x)
#define ONE(x) (1<<(x+16))
#define MASK_NO_TRX (ZERO(12) | ZERO(13) | ZERO(14))
#define MASK_NO_2D_SCALE ( ONE(0) | ONE(5))
#define MASK_IDENTITY ( ONE(0) | ZERO(4) | ZERO(8) | ZERO(12) |\
ZERO(1) | ONE(5) | ZERO(9) | ZERO(13) |\
ZERO(2) | ZERO(6) | ONE(10) | ZERO(14) |\
ZERO(3) | ZERO(7) | ZERO(11) | ONE(15) )
#define MASK_2D_NO_ROT ( ZERO(4) | ZERO(8) | \
ZERO(1) | ZERO(9) | \
ZERO(2) | ZERO(6) | ONE(10) | ZERO(14) |\
ZERO(3) | ZERO(7) | ZERO(11) | ONE(15) )
#define MASK_2D ( ZERO(8) | \
ZERO(9) | \
ZERO(2) | ZERO(6) | ONE(10) | ZERO(14) |\
ZERO(3) | ZERO(7) | ZERO(11) | ONE(15) )
#define MASK_3D_NO_ROT ( ZERO(4) | ZERO(8) | \
ZERO(1) | ZERO(9) | \
ZERO(2) | ZERO(6) | \
ZERO(3) | ZERO(7) | ZERO(11) | ONE(15) )
#define MASK_3D ( \
\
\
ZERO(3) | ZERO(7) | ZERO(11) | ONE(15) )
#define MASK_PERSPECTIVE ( ZERO(4) | ZERO(12) |\
ZERO(1) | ZERO(13) |\
ZERO(2) | ZERO(6) | \
ZERO(3) | ZERO(7) | ZERO(15) )
#define SQ(x) ((x)*(x))
/**
* Determine type and flags from scratch.
*
* \param mat matrix.
*
* This is expensive enough to only want to do it once.
*/
static void
analyse_from_scratch (CoglMatrix *matrix)
{
const float *m = (float *)matrix;
unsigned int mask = 0;
unsigned int i;
for (i = 0 ; i < 16 ; i++)
{
if (m[i] == 0.0) mask |= (1<<i);
}
if (m[0] == 1.0f) mask |= (1<<16);
if (m[5] == 1.0f) mask |= (1<<21);
if (m[10] == 1.0f) mask |= (1<<26);
if (m[15] == 1.0f) mask |= (1<<31);
matrix->flags &= ~MAT_FLAGS_GEOMETRY;
/* Check for translation - no-one really cares
*/
if ((mask & MASK_NO_TRX) != MASK_NO_TRX)
matrix->flags |= MAT_FLAG_TRANSLATION;
/* Do the real work
*/
if (mask == (unsigned int) MASK_IDENTITY)
matrix->type = COGL_MATRIX_TYPE_IDENTITY;
else if ((mask & MASK_2D_NO_ROT) == (unsigned int) MASK_2D_NO_ROT)
{
matrix->type = COGL_MATRIX_TYPE_2D_NO_ROT;
if ((mask & MASK_NO_2D_SCALE) != MASK_NO_2D_SCALE)
matrix->flags |= MAT_FLAG_GENERAL_SCALE;
}
else if ((mask & MASK_2D) == (unsigned int) MASK_2D)
{
float mm = DOT2 (m, m);
float m4m4 = DOT2 (m+4,m+4);
float mm4 = DOT2 (m,m+4);
matrix->type = COGL_MATRIX_TYPE_2D;
/* Check for scale */
if (SQ (mm-1) > SQ (1e-6) ||
SQ (m4m4-1) > SQ (1e-6))
matrix->flags |= MAT_FLAG_GENERAL_SCALE;
/* Check for rotation */
if (SQ (mm4) > SQ (1e-6))
matrix->flags |= MAT_FLAG_GENERAL_3D;
else
matrix->flags |= MAT_FLAG_ROTATION;
}
else if ((mask & MASK_3D_NO_ROT) == (unsigned int) MASK_3D_NO_ROT)
{
matrix->type = COGL_MATRIX_TYPE_3D_NO_ROT;
/* Check for scale */
if (SQ (m[0]-m[5]) < SQ (1e-6) &&
SQ (m[0]-m[10]) < SQ (1e-6))
{
if (SQ (m[0]-1.0) > SQ (1e-6))
matrix->flags |= MAT_FLAG_UNIFORM_SCALE;
}
else
matrix->flags |= MAT_FLAG_GENERAL_SCALE;
}
else if ((mask & MASK_3D) == (unsigned int) MASK_3D)
{
float c1 = DOT3 (m,m);
float c2 = DOT3 (m+4,m+4);
float c3 = DOT3 (m+8,m+8);
float d1 = DOT3 (m, m+4);
float cp[3];
matrix->type = COGL_MATRIX_TYPE_3D;
/* Check for scale */
if (SQ (c1-c2) < SQ (1e-6) && SQ (c1-c3) < SQ (1e-6))
{
if (SQ (c1-1.0) > SQ (1e-6))
matrix->flags |= MAT_FLAG_UNIFORM_SCALE;
/* else no scale at all */
}
else
matrix->flags |= MAT_FLAG_GENERAL_SCALE;
/* Check for rotation */
if (SQ (d1) < SQ (1e-6))
{
CROSS3 ( cp, m, m+4);
SUB_3V ( cp, cp, (m+8));
if (LEN_SQUARED_3FV(cp) < SQ(1e-6))
matrix->flags |= MAT_FLAG_ROTATION;
else
matrix->flags |= MAT_FLAG_GENERAL_3D;
}
else
matrix->flags |= MAT_FLAG_GENERAL_3D; /* shear, etc */
}
else if ((mask & MASK_PERSPECTIVE) == MASK_PERSPECTIVE && m[11]==-1.0f)
{
matrix->type = COGL_MATRIX_TYPE_PERSPECTIVE;
matrix->flags |= MAT_FLAG_GENERAL;
}
else
{
matrix->type = COGL_MATRIX_TYPE_GENERAL;
matrix->flags |= MAT_FLAG_GENERAL;
}
}
/**
* Analyze a matrix given that its flags are accurate.
*
* This is the more common operation, hopefully.
*/
static void
analyse_from_flags (CoglMatrix *matrix)
{
const float *m = (float *)matrix;
if (TEST_MAT_FLAGS(matrix, 0))
matrix->type = COGL_MATRIX_TYPE_IDENTITY;
else if (TEST_MAT_FLAGS(matrix, (MAT_FLAG_TRANSLATION |
MAT_FLAG_UNIFORM_SCALE |
MAT_FLAG_GENERAL_SCALE)))
{
if ( m[10] == 1.0f && m[14] == 0.0f )
matrix->type = COGL_MATRIX_TYPE_2D_NO_ROT;
else
matrix->type = COGL_MATRIX_TYPE_3D_NO_ROT;
}
else if (TEST_MAT_FLAGS (matrix, MAT_FLAGS_3D))
{
if ( m[ 8]==0.0f
&& m[ 9]==0.0f
&& m[2]==0.0f && m[6]==0.0f && m[10]==1.0f && m[14]==0.0f)
{
matrix->type = COGL_MATRIX_TYPE_2D;
}
else
matrix->type = COGL_MATRIX_TYPE_3D;
}
else if ( m[4]==0.0f && m[12]==0.0f
&& m[1]==0.0f && m[13]==0.0f
&& m[2]==0.0f && m[6]==0.0f
&& m[3]==0.0f && m[7]==0.0f && m[11]==-1.0f && m[15]==0.0f)
{
matrix->type = COGL_MATRIX_TYPE_PERSPECTIVE;
}
else
matrix->type = COGL_MATRIX_TYPE_GENERAL;
}
/**
* Analyze and update the type and flags of a matrix.
*
* \param mat matrix.
*
* If the matrix type is dirty then calls either analyse_from_scratch() or
* analyse_from_flags() to determine its type, according to whether the flags
* are dirty or not, respectively. If the matrix has an inverse and it's dirty
* then calls matrix_invert(). Finally clears the dirty flags.
*/
void
_math_matrix_update_type_and_flags (CoglMatrix *matrix)
{
if (matrix->flags & MAT_DIRTY_TYPE)
{
if (matrix->flags & MAT_DIRTY_FLAGS)
analyse_from_scratch (matrix);
else
analyse_from_flags (matrix);
}
matrix->flags &= ~(MAT_DIRTY_FLAGS | MAT_DIRTY_TYPE);
}
/*@}*/
/**
* Test if the given matrix preserves vector lengths.
*/
gboolean
_math_matrix_is_length_preserving (const CoglMatrix *m)
{
return TEST_MAT_FLAGS (m, MAT_FLAGS_LENGTH_PRESERVING);
}
/**
* Test if the given matrix does any rotation.
* (or perhaps if the upper-left 3x3 is non-identity)
*/
gboolean
_math_matrix_has_rotation (const CoglMatrix *matrix)
{
if (matrix->flags & (MAT_FLAG_GENERAL |
MAT_FLAG_ROTATION |
MAT_FLAG_GENERAL_3D |
MAT_FLAG_PERSPECTIVE))
return TRUE;
else
return FALSE;
}
gboolean
_math_matrix_is_general_scale (const CoglMatrix *matrix)
{
return (matrix->flags & MAT_FLAG_GENERAL_SCALE) ? TRUE : FALSE;
}
gboolean
_math_matrix_is_dirty (const CoglMatrix *matrix)
{
return (matrix->flags & MAT_DIRTY_ALL) ? TRUE : FALSE;
}
/**********************************************************************/
/** \name Matrix setup */
/*@{*/
/**
* Loads a matrix array into CoglMatrix.
*
* \param m matrix array.
* \param mat matrix.
*
* Copies \p m into CoglMatrix::m and marks the MAT_FLAG_GENERAL and
* MAT_DIRTY_ALL
* flags.
*/
void
_math_matrix_init_from_array (CoglMatrix *matrix, const float *array)
{
memcpy (matrix, array, 16 * sizeof (float));
matrix->flags = (MAT_FLAG_GENERAL | MAT_DIRTY_ALL);
}
/*@}*/
/**********************************************************************/
/** \name Matrix transpose */
/*@{*/
/**
* Transpose a float matrix.
*
* \param to destination array.
* \param from source array.
*/
void
_math_transposef (float to[16], const float from[16])
{
to[0] = from[0];
to[1] = from[4];
to[2] = from[8];
to[3] = from[12];
to[4] = from[1];
to[5] = from[5];
to[6] = from[9];
to[7] = from[13];
to[8] = from[2];
to[9] = from[6];
to[10] = from[10];
to[11] = from[14];
to[12] = from[3];
to[13] = from[7];
to[14] = from[11];
to[15] = from[15];
}
/**
* Transpose a double matrix.
*
* \param to destination array.
* \param from source array.
*/
void
_math_transposed (double to[16], const double from[16])
{
to[0] = from[0];
to[1] = from[4];
to[2] = from[8];
to[3] = from[12];
to[4] = from[1];
to[5] = from[5];
to[6] = from[9];
to[7] = from[13];
to[8] = from[2];
to[9] = from[6];
to[10] = from[10];
to[11] = from[14];
to[12] = from[3];
to[13] = from[7];
to[14] = from[11];
to[15] = from[15];
}
/**
* Transpose a double matrix and convert to float.
*
* \param to destination array.
* \param from source array.
*/
void
_math_transposefd (float to[16], const double from[16])
{
to[0] = (float)from[0];
to[1] = (float)from[4];
to[2] = (float)from[8];
to[3] = (float)from[12];
to[4] = (float)from[1];
to[5] = (float)from[5];
to[6] = (float)from[9];
to[7] = (float)from[13];
to[8] = (float)from[2];
to[9] = (float)from[6];
to[10] = (float)from[10];
to[11] = (float)from[14];
to[12] = (float)from[3];
to[13] = (float)from[7];
to[14] = (float)from[11];
to[15] = (float)from[15];
}
/*@}*/
/**
* Transform a 4-element row vector (1x4 matrix) by a 4x4 matrix. This
* function is used for transforming clipping plane equations and spotlight
* directions.
* Mathematically, u = v * m.
* Input: v - input vector
* m - transformation matrix
* Output: u - transformed vector
*/
void
_mesa_transform_vector (float u[4], const float v[4], const float m[16])
{
const float v0 = v[0], v1 = v[1], v2 = v[2], v3 = v[3];
#define M(row,col) m[row + col*4]
u[0] = v0 * M (0,0) + v1 * M (1,0) + v2 * M (2,0) + v3 * M (3,0);
u[1] = v0 * M (0,1) + v1 * M (1,1) + v2 * M (2,1) + v3 * M (3,1);
u[2] = v0 * M (0,2) + v1 * M (1,2) + v2 * M (2,2) + v3 * M (3,2);
u[3] = v0 * M (0,3) + v1 * M (1,3) + v2 * M (2,3) + v3 * M (3,3);
#undef M
}
Reference in New Issue View Git Blame Copy Permalink