git mv Code\Sandbox\Editor Code/Editor
Signed-off-by: Esteban Papp <81431996+amznestebanpapp@users.noreply.github.com>
This commit is contained in:
Esteban Papp
@@ -0,0 +1,856 @@
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/*
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* Copyright (c) Contributors to the Open 3D Engine Project
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*
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* SPDX-License-Identifier: Apache-2.0 OR MIT
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*
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*/
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#include "EditorDefs.h"
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#pragma warning ( disable : 4244 ) // conversion from 'double' to 'float', possible loss of data.
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/**** Decompose.h - Basic declarations ****/
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typedef struct
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{
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float x, y, z, w;
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} Quatern; /* Quaternernion */
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enum QuaternPart
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{
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X, Y, Z, W
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};
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typedef Quatern HVect; /* Homogeneous 3D vector */
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typedef float HMatrix[4][4]; /* Right-handed, for column vectors */
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typedef struct
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{
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HVect t; /* Translation components */
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Quatern q; /* Essential rotation */
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Quatern u; /* Stretch rotation */
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HVect k; /* Stretch factors */
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float f; /* Sign of determinant */
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} SAffineParts;
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float polar_decomp(HMatrix M, HMatrix Q, HMatrix S);
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HVect spect_decomp(HMatrix S, HMatrix U);
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Quatern snuggle(Quatern q, HVect* k);
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/******* Matrix Preliminaries *******/
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/** Fill out 3x3 matrix to 4x4 **/
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#define mat_pad(A) (A[W][X] = A[X][W] = A[W][Y] = A[Y][W] = A[W][Z] = A[Z][W] = 0, A[W][W] = 1)
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/** Copy nxn matrix A to C using "gets" for assignment **/
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#define mat_copy(C, gets, A, n) {int i, j; for (i = 0; i < n; i++) {for (j = 0; j < n; j++) { \
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C[i][j] gets (A[i][j]); } \
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} \
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}
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/** Copy transpose of nxn matrix A to C using "gets" for assignment **/
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#define mat_tpose(AT, gets, A, n) {int i, j; for (i = 0; i < n; i++) {for (j = 0; j < n; j++) { \
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AT[i][j] gets (A[j][i]); } \
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} \
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}
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/** Assign nxn matrix C the element-wise combination of A and B using "op" **/
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#define mat_binop(C, gets, A, op, B, n) {int i, j; for (i = 0; i < n; i++) {for (j = 0; j < n; j++) { \
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C[i][j] gets (A[i][j]) op (B[i][j]); } \
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} \
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}
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/** Multiply the upper left 3x3 parts of A and B to get AB **/
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static void mat_mult(HMatrix A, HMatrix B, HMatrix AB)
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{
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int i, j;
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for (i = 0; i < 3; i++)
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{
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for (j = 0; j < 3; j++)
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{
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AB[i][j] = A[i][0] * B[0][j] + A[i][1] * B[1][j] + A[i][2] * B[2][j];
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}
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}
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}
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/** Return dot product of length 3 vectors va and vb **/
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static float vdot(float* va, float* vb)
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{
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return (va[0] * vb[0] + va[1] * vb[1] + va[2] * vb[2]);
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}
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/** Set v to cross product of length 3 vectors va and vb **/
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static void vcross(float* va, float* vb, float* v)
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{
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v[0] = va[1] * vb[2] - va[2] * vb[1];
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v[1] = va[2] * vb[0] - va[0] * vb[2];
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v[2] = va[0] * vb[1] - va[1] * vb[0];
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}
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/** Set MadjT to transpose of inverse of M times determinant of M **/
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static void adjoint_transpose(HMatrix M, HMatrix MadjT)
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{
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vcross(M[1], M[2], MadjT[0]);
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vcross(M[2], M[0], MadjT[1]);
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vcross(M[0], M[1], MadjT[2]);
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}
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/******* Quaternernion Preliminaries *******/
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/* Construct a (possibly non-unit) Quaternernion from real components. */
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static Quatern Qt_(float x, float y, float z, float w)
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{
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Quatern qq;
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qq.x = x;
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qq.y = y;
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qq.z = z;
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qq.w = w;
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return (qq);
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}
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/* Return conjugate of Quaternernion. */
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static Quatern Qt_Conj(Quatern q)
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{
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Quatern qq;
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qq.x = -q.x;
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qq.y = -q.y;
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qq.z = -q.z;
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qq.w = q.w;
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return (qq);
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}
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/* Return Quaternernion product qL * qR. Note: order is important!
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* To combine rotations, use the product Mul(qSecond, qFirst),
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* which gives the effect of rotating by qFirst then qSecond. */
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static Quatern Qt_Mul(Quatern qL, Quatern qR)
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{
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Quatern qq;
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qq.w = qL.w * qR.w - qL.x * qR.x - qL.y * qR.y - qL.z * qR.z;
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qq.x = qL.w * qR.x + qL.x * qR.w + qL.y * qR.z - qL.z * qR.y;
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qq.y = qL.w * qR.y + qL.y * qR.w + qL.z * qR.x - qL.x * qR.z;
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qq.z = qL.w * qR.z + qL.z * qR.w + qL.x * qR.y - qL.y * qR.x;
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return (qq);
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}
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/* Return product of Quaternernion q by scalar w. */
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static Quatern Qt_Scale(Quatern q, float w)
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{
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Quatern qq;
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qq.w = q.w * w;
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qq.x = q.x * w;
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qq.y = q.y * w;
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qq.z = q.z * w;
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return (qq);
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}
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/* Construct a unit Quaternernion from rotation matrix. Assumes matrix is
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* used to multiply column vector on the left: vnew = mat vold. Works
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* correctly for right-handed coordinate system and right-handed rotations.
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* Translation and perspective components ignored. */
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static Quatern Qt_FromMatrix(HMatrix mat)
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{
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/* This algorithm avoids near-zero divides by looking for a large component
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* - first w, then x, y, or z. When the trace is greater than zero,
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* |w| is greater than 1/2, which is as small as a largest component can be.
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* Otherwise, the largest diagonal entry corresponds to the largest of |x|,
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* |y|, or |z|, one of which must be larger than |w|, and at least 1/2. */
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Quatern qu = { 0.0f, 0.0f, 0.0f, 1.0f };
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double tr, s;
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tr = mat[X][X] + mat[Y][Y] + mat[Z][Z];
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if (tr >= 0.0)
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{
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s = sqrt(tr + mat[W][W]);
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qu.w = s * 0.5;
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s = 0.5 / s;
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qu.x = (mat[Z][Y] - mat[Y][Z]) * s;
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qu.y = (mat[X][Z] - mat[Z][X]) * s;
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qu.z = (mat[Y][X] - mat[X][Y]) * s;
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}
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else
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{
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int h = X;
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if (mat[Y][Y] > mat[X][X])
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{
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h = Y;
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}
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if (mat[Z][Z] > mat[h][h])
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{
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h = Z;
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}
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switch (h)
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{
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#define caseMacro(i, j, k, I, J, K) \
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case I: \
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s = sqrt((mat[I][I] - (mat[J][J] + mat[K][K])) + mat[W][W]); \
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qu.i = s * 0.5; \
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s = 0.5 / s; \
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qu.j = (mat[I][J] + mat[J][I]) * s; \
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qu.k = (mat[K][I] + mat[I][K]) * s; \
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qu.w = (mat[K][J] - mat[J][K]) * s; \
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break
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caseMacro(x, y, z, X, Y, Z);
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caseMacro(y, z, x, Y, Z, X);
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caseMacro(z, x, y, Z, X, Y);
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}
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}
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if (mat[W][W] != 1.0)
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{
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qu = Qt_Scale(qu, 1.0f / sqrt(mat[W][W]));
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}
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return (qu);
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}
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/******* Decomp Auxiliaries *******/
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static HMatrix mat_id = {
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{1, 0, 0, 0}, {0, 1, 0, 0}, {0, 0, 1, 0}, {0, 0, 0, 1}
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};
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/** Compute either the 1 or infinity norm of M, depending on tpose **/
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static float mat_norm(HMatrix M, int tpose)
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{
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int i;
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float sum, max;
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max = 0.0;
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for (i = 0; i < 3; i++)
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{
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if (tpose)
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{
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sum = fabs(M[0][i]) + fabs(M[1][i]) + fabs(M[2][i]);
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}
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else
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{
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sum = fabs(M[i][0]) + fabs(M[i][1]) + fabs(M[i][2]);
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}
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if (max < sum)
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{
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max = sum;
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}
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}
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return max;
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}
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static float norm_inf(HMatrix M) {return mat_norm(M, 0); }
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static float norm_one(HMatrix M) {return mat_norm(M, 1); }
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/** Return index of column of M containing maximum abs entry, or -1 if M=0 **/
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static int find_max_col(HMatrix M)
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{
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float abs, max;
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int i, j, col;
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max = 0.0;
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col = -1;
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for (i = 0; i < 3; i++)
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{
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for (j = 0; j < 3; j++)
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{
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abs = M[i][j];
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if (abs < 0.0)
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{
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abs = -abs;
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}
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if (abs > max)
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{
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max = abs;
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col = j;
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}
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}
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}
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return col;
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}
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/** Setup u for Household reflection to zero all v components but first **/
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static void make_reflector(float* v, float* u)
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{
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float s = sqrt(vdot(v, v));
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u[0] = v[0];
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u[1] = v[1];
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u[2] = v[2] + ((v[2] < 0.0) ? -s : s);
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s = sqrt(2.0 / vdot(u, u));
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u[0] = u[0] * s;
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u[1] = u[1] * s;
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u[2] = u[2] * s;
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}
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/** Apply Householder reflection represented by u to column vectors of M **/
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static void reflect_cols(HMatrix M, float* u)
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{
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int i, j;
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for (i = 0; i < 3; i++)
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{
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float s = u[0] * M[0][i] + u[1] * M[1][i] + u[2] * M[2][i];
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for (j = 0; j < 3; j++)
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{
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M[j][i] -= u[j] * s;
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}
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}
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}
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/** Apply Householder reflection represented by u to row vectors of M **/
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static void reflect_rows(HMatrix M, float* u)
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{
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int i, j;
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for (i = 0; i < 3; i++)
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{
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float s = vdot(u, M[i]);
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for (j = 0; j < 3; j++)
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{
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M[i][j] -= u[j] * s;
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}
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}
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}
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/** Find orthogonal factor Q of rank 1 (or less) M **/
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static void do_rank1(HMatrix M, HMatrix Q)
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{
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float v1[3], v2[3], s;
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int col;
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mat_copy(Q, =, mat_id, 4);
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/* If rank(M) is 1, we should find a non-zero column in M */
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col = find_max_col(M);
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if (col < 0)
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{
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return; /* Rank is 0 */
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}
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v1[0] = M[0][col];
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v1[1] = M[1][col];
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v1[2] = M[2][col];
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make_reflector(v1, v1);
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reflect_cols(M, v1);
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v2[0] = M[2][0];
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v2[1] = M[2][1];
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v2[2] = M[2][2];
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make_reflector(v2, v2);
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reflect_rows(M, v2);
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s = M[2][2];
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if (s < 0.0)
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{
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Q[2][2] = -1.0;
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}
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reflect_cols(Q, v1);
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reflect_rows(Q, v2);
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}
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/** Find orthogonal factor Q of rank 2 (or less) M using adjoint transpose **/
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static void do_rank2(HMatrix M, HMatrix MadjT, HMatrix Q)
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{
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float v1[3], v2[3];
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float w, x, y, z, c, s, d;
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int col;
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/* If rank(M) is 2, we should find a non-zero column in MadjT */
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col = find_max_col(MadjT);
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if (col < 0)
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{
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do_rank1(M, Q);
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return;
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} /* Rank<2 */
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v1[0] = MadjT[0][col];
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v1[1] = MadjT[1][col];
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v1[2] = MadjT[2][col];
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make_reflector(v1, v1);
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reflect_cols(M, v1);
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vcross(M[0], M[1], v2);
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make_reflector(v2, v2);
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reflect_rows(M, v2);
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w = M[0][0];
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x = M[0][1];
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y = M[1][0];
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z = M[1][1];
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if (w * z > x * y)
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{
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c = z + w;
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s = y - x;
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d = sqrt(c * c + s * s);
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c = c / d;
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s = s / d;
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Q[0][0] = Q[1][1] = c;
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Q[0][1] = -(Q[1][0] = s);
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}
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else
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{
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c = z - w;
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s = y + x;
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d = sqrt(c * c + s * s);
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c = c / d;
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s = s / d;
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Q[0][0] = -(Q[1][1] = c);
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Q[0][1] = Q[1][0] = s;
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}
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Q[0][2] = Q[2][0] = Q[1][2] = Q[2][1] = 0.0;
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Q[2][2] = 1.0;
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reflect_cols(Q, v1);
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reflect_rows(Q, v2);
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}
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/******* Polar Decomposition *******/
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||||
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/* Polar Decomposition of 3x3 matrix in 4x4,
|
||||
* M = QS. See Nicholas Higham and Robert S. Schreiber,
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* Fast Polar Decomposition of An Arbitrary Matrix,
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* Technical Report 88-942, October 1988,
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* Department of Computer Science, Cornell University.
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*/
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float polar_decomp(HMatrix M, HMatrix Q, HMatrix S)
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{
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#define TOL 1.0e-6
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HMatrix Mk, MadjTk, Ek;
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float det, M_one, M_inf, MadjT_one, MadjT_inf, E_one, gamma, g1, g2;
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mat_tpose(Mk, =, M, 3);
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M_one = norm_one(Mk);
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M_inf = norm_inf(Mk);
|
||||
do
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{
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adjoint_transpose(Mk, MadjTk);
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det = vdot(Mk[0], MadjTk[0]);
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if (det == 0.0)
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{
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do_rank2(Mk, MadjTk, Mk);
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break;
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}
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MadjT_one = norm_one(MadjTk);
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MadjT_inf = norm_inf(MadjTk);
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gamma = sqrt(sqrt((MadjT_one * MadjT_inf) / (M_one * M_inf)) / fabs(det));
|
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g1 = gamma * 0.5;
|
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g2 = 0.5 / (gamma * det);
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mat_copy(Ek, =, Mk, 3);
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mat_binop(Mk, =, g1 * Mk, +, g2 * MadjTk, 3);
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mat_copy(Ek, -=, Mk, 3);
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E_one = norm_one(Ek);
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M_one = norm_one(Mk);
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M_inf = norm_inf(Mk);
|
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} while (E_one > (M_one * TOL));
|
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mat_tpose(Q, =, Mk, 3);
|
||||
mat_pad(Q);
|
||||
mat_mult(Mk, M, S);
|
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mat_pad(S);
|
||||
for (int i = 0; i < 3; i++)
|
||||
{
|
||||
for (int j = i; j < 3; j++)
|
||||
{
|
||||
S[i][j] = S[j][i] = 0.5 * (S[i][j] + S[j][i]);
|
||||
}
|
||||
}
|
||||
return (det);
|
||||
}
|
||||
|
||||
|
||||
/******* Spectral Decomposition *******/
|
||||
|
||||
/* Compute the spectral decomposition of symmetric positive semi-definite S.
|
||||
* Returns rotation in U and scale factors in result, so that if K is a diagonal
|
||||
* matrix of the scale factors, then S = U K (U transpose). Uses Jacobi method.
|
||||
* See Gene H. Golub and Charles F. Van Loan. Matrix Computations. Hopkins 1983.
|
||||
*/
|
||||
HVect spect_decomp(HMatrix S, HMatrix U)
|
||||
{
|
||||
HVect kv;
|
||||
double Diag[3], OffD[3]; /* OffD is off-diag (by omitted index) */
|
||||
double g, h, fabsh, fabsOffDi, t, theta, c, s, tau, ta, OffDq, a, b;
|
||||
static char nxt[] = {Y, Z, X};
|
||||
int sweep;
|
||||
mat_copy(U, =, mat_id, 4);
|
||||
Diag[X] = S[X][X];
|
||||
Diag[Y] = S[Y][Y];
|
||||
Diag[Z] = S[Z][Z];
|
||||
OffD[X] = S[Y][Z];
|
||||
OffD[Y] = S[Z][X];
|
||||
OffD[Z] = S[X][Y];
|
||||
for (sweep = 20; sweep > 0; sweep--)
|
||||
{
|
||||
float sm = fabs(OffD[X]) + fabs(OffD[Y]) + fabs(OffD[Z]);
|
||||
if (sm == 0.0)
|
||||
{
|
||||
break;
|
||||
}
|
||||
for (int i = Z; i >= X; i--)
|
||||
{
|
||||
int p = nxt[i];
|
||||
int q = nxt[p];
|
||||
fabsOffDi = fabs(OffD[i]);
|
||||
g = 100.0 * fabsOffDi;
|
||||
if (fabsOffDi > AZ::Constants::FloatEpsilon)
|
||||
{
|
||||
h = Diag[q] - Diag[p];
|
||||
fabsh = fabs(h);
|
||||
if (fabsh + g == fabsh)
|
||||
{
|
||||
t = OffD[i] / h;
|
||||
}
|
||||
else
|
||||
{
|
||||
theta = 0.5 * h / OffD[i];
|
||||
t = 1.0 / (fabs(theta) + sqrt(theta * theta + 1.0));
|
||||
if (theta < 0.0)
|
||||
{
|
||||
t = -t;
|
||||
}
|
||||
}
|
||||
c = 1.0 / sqrt(t * t + 1.0);
|
||||
s = t * c;
|
||||
tau = s / (c + 1.0);
|
||||
ta = t * OffD[i];
|
||||
OffD[i] = 0.0;
|
||||
Diag[p] -= ta;
|
||||
Diag[q] += ta;
|
||||
OffDq = OffD[q];
|
||||
OffD[q] -= s * (OffD[p] + tau * OffD[q]);
|
||||
OffD[p] += s * (OffDq - tau * OffD[p]);
|
||||
for (int j = Z; j >= X; j--)
|
||||
{
|
||||
a = U[j][p];
|
||||
b = U[j][q];
|
||||
U[j][p] -= s * (b + tau * a);
|
||||
U[j][q] += s * (a - tau * b);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
kv.x = Diag[X];
|
||||
kv.y = Diag[Y];
|
||||
kv.z = Diag[Z];
|
||||
kv.w = 1.0;
|
||||
return (kv);
|
||||
}
|
||||
|
||||
/******* Spectral Axis Adjustment *******/
|
||||
|
||||
/* Given a unit Quaternernion, q, and a scale vector, k, find a unit Quaternernion, p,
|
||||
* which permutes the axes and turns freely in the plane of duplicate scale
|
||||
* factors, such that q p has the largest possible w component, i.e. the
|
||||
* smallest possible angle. Permutes k's components to go with q p instead of q.
|
||||
* See Ken Shoemake and Tom Duff. Matrix Animation and Polar Decomposition.
|
||||
* Proceedings of Graphics Interface 1992. Details on p. 262-263.
|
||||
*/
|
||||
Quatern snuggle(Quatern q, HVect* k)
|
||||
{
|
||||
#define SQRTHALF (0.7071067811865475244f)
|
||||
#define sgn(n, v) ((n) ? -(v) : (v))
|
||||
#define swap(a, i, j) {a[3] = a[i]; a[i] = a[j]; a[j] = a[3]; }
|
||||
#define cycle(a, p) if (p) {a[3] = a[0]; a[0] = a[1]; a[1] = a[2]; a[2] = a[3]; } \
|
||||
else {a[3] = a[2]; a[2] = a[1]; a[1] = a[0]; a[0] = a[3]; }
|
||||
Quatern p = { 0.0f, 0.0f, 0.0f, 1.0f };
|
||||
float ka[4];
|
||||
int i, turn = -1;
|
||||
ka[X] = k->x;
|
||||
ka[Y] = k->y;
|
||||
ka[Z] = k->z;
|
||||
if (ka[X] == ka[Y])
|
||||
{
|
||||
if (ka[X] == ka[Z])
|
||||
{
|
||||
turn = W;
|
||||
}
|
||||
else
|
||||
{
|
||||
turn = Z;
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
if (ka[X] == ka[Z])
|
||||
{
|
||||
turn = Y;
|
||||
}
|
||||
else if (ka[Y] == ka[Z])
|
||||
{
|
||||
turn = X;
|
||||
}
|
||||
}
|
||||
if (turn >= 0)
|
||||
{
|
||||
Quatern qtoz, qp;
|
||||
unsigned neg[3], win;
|
||||
double mag[3], t;
|
||||
static Quatern qxtoz = {0, SQRTHALF, 0, SQRTHALF};
|
||||
static Quatern qytoz = {SQRTHALF, 0, 0, SQRTHALF};
|
||||
static Quatern qppmm = { 0.5, 0.5, -0.5, -0.5};
|
||||
static Quatern qpppp = { 0.5, 0.5, 0.5, 0.5};
|
||||
static Quatern qmpmm = {-0.5, 0.5, -0.5, -0.5};
|
||||
static Quatern qpppm = { 0.5, 0.5, 0.5, -0.5};
|
||||
static Quatern q0001 = { 0.0, 0.0, 0.0, 1.0};
|
||||
static Quatern q1000 = { 1.0, 0.0, 0.0, 0.0};
|
||||
switch (turn)
|
||||
{
|
||||
default:
|
||||
return (Qt_Conj(q));
|
||||
case X:
|
||||
q = Qt_Mul(q, qtoz = qxtoz);
|
||||
swap(ka, X, Z);
|
||||
break;
|
||||
case Y:
|
||||
q = Qt_Mul(q, qtoz = qytoz);
|
||||
swap(ka, Y, Z);
|
||||
break;
|
||||
case Z:
|
||||
qtoz = q0001;
|
||||
break;
|
||||
}
|
||||
q = Qt_Conj(q);
|
||||
mag[0] = (double)q.z * q.z + (double)q.w * q.w - 0.5;
|
||||
mag[1] = (double)q.x * q.z - (double)q.y * q.w;
|
||||
mag[2] = (double)q.y * q.z + (double)q.x * q.w;
|
||||
for (i = 0; i < 3; i++)
|
||||
{
|
||||
neg[i] = (mag[i] < 0.0);
|
||||
if (neg[i])
|
||||
{
|
||||
mag[i] = -mag[i];
|
||||
}
|
||||
}
|
||||
if (mag[0] > mag[1])
|
||||
{
|
||||
if (mag[0] > mag[2])
|
||||
{
|
||||
win = 0;
|
||||
}
|
||||
else
|
||||
{
|
||||
win = 2;
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
if (mag[1] > mag[2])
|
||||
{
|
||||
win = 1;
|
||||
}
|
||||
else
|
||||
{
|
||||
win = 2;
|
||||
}
|
||||
}
|
||||
switch (win)
|
||||
{
|
||||
case 0:
|
||||
if (neg[0])
|
||||
{
|
||||
p = q1000;
|
||||
}
|
||||
else
|
||||
{
|
||||
p = q0001;
|
||||
} break;
|
||||
case 1:
|
||||
if (neg[1])
|
||||
{
|
||||
p = qppmm;
|
||||
}
|
||||
else
|
||||
{
|
||||
p = qpppp;
|
||||
} cycle(ka, 0);
|
||||
break;
|
||||
case 2:
|
||||
if (neg[2])
|
||||
{
|
||||
p = qmpmm;
|
||||
}
|
||||
else
|
||||
{
|
||||
p = qpppm;
|
||||
} cycle(ka, 1);
|
||||
break;
|
||||
}
|
||||
qp = Qt_Mul(q, p);
|
||||
t = sqrt(mag[win] + 0.5);
|
||||
p = Qt_Mul(p, Qt_(0.0, 0.0, -qp.z / t, qp.w / t));
|
||||
p = Qt_Mul(qtoz, Qt_Conj(p));
|
||||
}
|
||||
else
|
||||
{
|
||||
float qa[4], pa[4];
|
||||
unsigned lo, hi, neg[4], par = 0;
|
||||
double all, big, two;
|
||||
qa[0] = q.x;
|
||||
qa[1] = q.y;
|
||||
qa[2] = q.z;
|
||||
qa[3] = q.w;
|
||||
for (i = 0; i < 4; i++)
|
||||
{
|
||||
pa[i] = 0.0;
|
||||
neg[i] = (qa[i] < 0.0);
|
||||
if (neg[i])
|
||||
{
|
||||
qa[i] = -qa[i];
|
||||
}
|
||||
par ^= neg[i];
|
||||
}
|
||||
/* Find two largest components, indices in hi and lo */
|
||||
if (qa[0] > qa[1])
|
||||
{
|
||||
lo = 0;
|
||||
}
|
||||
else
|
||||
{
|
||||
lo = 1;
|
||||
}
|
||||
if (qa[2] > qa[3])
|
||||
{
|
||||
hi = 2;
|
||||
}
|
||||
else
|
||||
{
|
||||
hi = 3;
|
||||
}
|
||||
if (qa[lo] > qa[hi])
|
||||
{
|
||||
if (qa[lo ^ 1] > qa[hi])
|
||||
{
|
||||
hi = lo;
|
||||
lo ^= 1;
|
||||
}
|
||||
else
|
||||
{
|
||||
hi ^= lo;
|
||||
lo ^= hi;
|
||||
hi ^= lo;
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
if (qa[hi ^ 1] > qa[lo])
|
||||
{
|
||||
lo = hi ^ 1;
|
||||
}
|
||||
}
|
||||
all = (qa[0] + qa[1] + qa[2] + qa[3]) * 0.5;
|
||||
two = (qa[hi] + qa[lo]) * SQRTHALF;
|
||||
big = qa[hi];
|
||||
if (all > two)
|
||||
{
|
||||
if (all > big)/*all*/
|
||||
{
|
||||
{
|
||||
int ii;
|
||||
for (ii = 0; ii < 4; ii++)
|
||||
{
|
||||
pa[ii] = sgn(neg[ii], 0.5);
|
||||
}
|
||||
}
|
||||
cycle(ka, par)
|
||||
}
|
||||
else
|
||||
{ /*big*/
|
||||
pa[hi] = sgn(neg[hi], 1.0);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
if (two > big)/*two*/
|
||||
{
|
||||
pa[hi] = sgn(neg[hi], SQRTHALF);
|
||||
pa[lo] = sgn(neg[lo], SQRTHALF);
|
||||
if (lo > hi)
|
||||
{
|
||||
hi ^= lo;
|
||||
lo ^= hi;
|
||||
hi ^= lo;
|
||||
}
|
||||
if (hi == W)
|
||||
{
|
||||
hi = "\001\002\000"[lo];
|
||||
lo = 3 - hi - lo;
|
||||
}
|
||||
swap(ka, hi, lo)
|
||||
}
|
||||
else
|
||||
{ /*big*/
|
||||
pa[hi] = sgn(neg[hi], 1.0);
|
||||
}
|
||||
}
|
||||
p.x = -pa[0];
|
||||
p.y = -pa[1];
|
||||
p.z = -pa[2];
|
||||
p.w = pa[3];
|
||||
}
|
||||
k->x = ka[X];
|
||||
k->y = ka[Y];
|
||||
k->z = ka[Z];
|
||||
return (p);
|
||||
}
|
||||
|
||||
|
||||
/******* Decompose Affine Matrix *******/
|
||||
|
||||
/* Decompose 4x4 affine matrix A as TFRUK(U transpose), where t contains the
|
||||
* translation components, q contains the rotation R, u contains U, k contains
|
||||
* scale factors, and f contains the sign of the determinant.
|
||||
* Assumes A transforms column vectors in right-handed coordinates.
|
||||
* See Ken Shoemake and Tom Duff. Matrix Animation and Polar Decomposition.
|
||||
* Proceedings of Graphics Interface 1992.
|
||||
*/
|
||||
static void decomp_affine(HMatrix A, SAffineParts* parts)
|
||||
{
|
||||
HMatrix Q, S, U;
|
||||
Quatern p;
|
||||
float det;
|
||||
parts->t = Qt_(A[X][W], A[Y][W], A[Z][W], 0);
|
||||
det = polar_decomp(A, Q, S);
|
||||
if (det < 0.0)
|
||||
{
|
||||
mat_copy(Q, =, -Q, 3);
|
||||
parts->f = -1;
|
||||
}
|
||||
else
|
||||
{
|
||||
parts->f = 1;
|
||||
}
|
||||
parts->q = Qt_FromMatrix(Q);
|
||||
parts->k = spect_decomp(S, U);
|
||||
parts->u = Qt_FromMatrix(U);
|
||||
p = snuggle(parts->u, &parts->k);
|
||||
parts->u = Qt_Mul(parts->u, p);
|
||||
}
|
||||
|
||||
static void spectral_decomp_affine(HMatrix A, SAffineParts* parts)
|
||||
{
|
||||
HMatrix Q, S, U;
|
||||
float det;
|
||||
|
||||
parts->t = Qt_(A[X][W], A[Y][W], A[Z][W], 0);
|
||||
det = polar_decomp(A, Q, S);
|
||||
if (det < 0.0)
|
||||
{
|
||||
mat_copy(Q, =, -Q, 3);
|
||||
parts->f = -1;
|
||||
}
|
||||
else
|
||||
{
|
||||
parts->f = 1;
|
||||
}
|
||||
parts->q = Qt_FromMatrix(Q);
|
||||
parts->k = spect_decomp(S, U);
|
||||
parts->u = Qt_FromMatrix(U);
|
||||
}
|
||||
|
||||
// Decompose matrix to affine parts.
|
||||
void AffineParts::Decompose(const Matrix34& tm)
|
||||
{
|
||||
SAffineParts parts;
|
||||
|
||||
Matrix44 tm44(tm);
|
||||
HMatrix& H = *((HMatrix*)&tm44); // Treat HMatrix as a Matrix44.
|
||||
|
||||
decomp_affine(H, &parts);
|
||||
|
||||
rot = Quat(parts.q.w, parts.q.x, parts.q.y, parts.q.z);
|
||||
rotScale = Quat(parts.u.w, parts.u.x, parts.u.y, parts.u.z);
|
||||
pos = Vec3(parts.t.x, parts.t.y, parts.t.z);
|
||||
scale = Vec3(parts.k.x, parts.k.y, parts.k.z);
|
||||
fDet = parts.f;
|
||||
}
|
||||
|
||||
// Spectral matrix decompostion to affine parts.
|
||||
void AffineParts::SpectralDecompose(const Matrix34& tm)
|
||||
{
|
||||
SAffineParts parts;
|
||||
|
||||
Matrix44 tm44(tm);
|
||||
HMatrix& H = *((HMatrix*)&tm44); // Treat HMatrix as a Matrix44.
|
||||
|
||||
spectral_decomp_affine(H, &parts);
|
||||
|
||||
rot = Quat(parts.q.w, parts.q.x, parts.q.y, parts.q.z);
|
||||
rotScale = Quat(parts.u.w, parts.u.x, parts.u.y, parts.u.z);
|
||||
pos = Vec3(parts.t.x, parts.t.y, parts.t.z);
|
||||
scale = Vec3(parts.k.x, parts.k.y, parts.k.z);
|
||||
fDet = parts.f;
|
||||
}
|
||||
Reference in New Issue
Block a user