mirror of
https://github.com/TorqueGameEngines/Torque3D.git
synced 2026-01-20 04:34:48 +00:00
cramer for inverse
added #if block around inverse methods to track down shadow bug uses old inverse method as default for now.
This commit is contained in:
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@ -127,6 +127,10 @@ public:
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EulerF toEuler() const;
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F32 determinant() const {
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return m_matF_determinant(*this);
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}
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/// Compute the inverse of the matrix.
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///
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/// Computes inverse of full 4x4 matrix. Returns false and performs no inverse if
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@ -702,11 +706,9 @@ public:
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AssertFatal(rows == cols, "Determinant is only defined for square matrices.");
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// For simplicity, only implement for 3x3 matrices
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AssertFatal(rows >= 3 && cols >= 3, "Determinant only for 3x3 or more"); // Ensure the matrix is 3x3
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DATA_TYPE det =
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data[0] * (data[4] * data[8] - data[5] * data[7]) -
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data[1] * (data[3] * data[8] - data[5] * data[6]) +
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data[2] * (data[3] * data[7] - data[4] * data[6]);
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return det;
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return (*this)(0, 0) * ((*this)(1, 1) * (*this)(2, 2) - (*this)(1, 2) * (*this)(2, 1)) +
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(*this)(1, 0) * ((*this)(0, 2) * (*this)(2, 1) - (*this)(0, 1) * (*this)(2, 2)) +
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(*this)(2, 0) * ((*this)(0, 1) * (*this)(1, 2) - (*this)(0, 2) * (*this)(1, 1));
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}
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///< M * a -> M
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@ -823,6 +825,12 @@ public:
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}
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}
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void swap(DATA_TYPE& a, DATA_TYPE& b) {
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DATA_TYPE temp = a;
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a = b;
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b = temp;
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}
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void invertTo(Matrix<DATA_TYPE, cols, rows>* matrix) const;
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void invertTo(Matrix<DATA_TYPE, cols, rows>* matrix);
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@ -834,17 +842,25 @@ public:
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friend Matrix<DATA_TYPE, rows, cols> operator*(const Matrix<DATA_TYPE, rows, cols>& m1, const Matrix<DATA_TYPE, rows, cols>& m2) {
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Matrix<DATA_TYPE, rows, cols> result;
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for (U32 i = 0; i < rows; ++i)
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{
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for (U32 j = 0; j < cols; ++j)
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{
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result(i, j) = 0; // Initialize result element to 0
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for (U32 k = 0; k < cols; ++k)
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{
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result(i, j) += m1(i, k) * m2(k, j);
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}
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}
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}
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result(0, 0) = m1(0, 0) * m2(0, 0) + m1(0, 1) * m2(1, 0) + m1(0, 2) * m2(2, 0) + m1(0, 3) * m2(3, 0);
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result(0, 1) = m1(0, 0) * m2(0, 1) + m1(0, 1) * m2(1, 1) + m1(0, 2) * m2(2, 1) + m1(0, 3) * m2(3, 1);
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result(0, 2) = m1(0, 0) * m2(0, 2) + m1(0, 1) * m2(1, 2) + m1(0, 2) * m2(2, 2) + m1(0, 3) * m2(3, 2);
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result(0, 3) = m1(0, 0) * m2(0, 3) + m1(0, 1) * m2(1, 3) + m1(0, 2) * m2(2, 3) + m1(0, 3) * m2(3, 3);
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result(1, 0) = m1(1, 0) * m2(0, 0) + m1(1, 1) * m2(1, 0) + m1(1, 2) * m2(2, 0) + m1(1, 3) * m2(3, 0);
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result(1, 1) = m1(1, 0) * m2(0, 1) + m1(1, 1) * m2(1, 1) + m1(1, 2) * m2(2, 1) + m1(1, 3) * m2(3, 1);
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result(1, 2) = m1(1, 0) * m2(0, 2) + m1(1, 1) * m2(1, 2) + m1(1, 2) * m2(2, 2) + m1(1, 3) * m2(3, 2);
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result(1, 3) = m1(1, 0) * m2(0, 3) + m1(1, 1) * m2(1, 3) + m1(1, 2) * m2(2, 3) + m1(1, 3) * m2(3, 3);
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result(2, 0) = m1(2, 0) * m2(0, 0) + m1(2, 1) * m2(1, 0) + m1(2, 2) * m2(2, 0) + m1(2, 3) * m2(3, 0);
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result(2, 1) = m1(2, 0) * m2(0, 1) + m1(2, 1) * m2(1, 1) + m1(2, 2) * m2(2, 1) + m1(2, 3) * m2(3, 1);
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result(2, 2) = m1(2, 0) * m2(0, 2) + m1(2, 1) * m2(1, 2) + m1(2, 2) * m2(2, 2) + m1(2, 3) * m2(3, 2);
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result(2, 3) = m1(2, 0) * m2(0, 3) + m1(2, 1) * m2(1, 3) + m1(2, 2) * m2(2, 3) + m1(2, 3) * m2(3, 3);
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result(3, 0) = m1(3, 0) * m2(0, 0) + m1(3, 1) * m2(1, 0) + m1(3, 2) * m2(2, 0) + m1(3, 3) * m2(3, 0);
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result(3, 1) = m1(3, 0) * m2(0, 1) + m1(3, 1) * m2(1, 1) + m1(3, 2) * m2(2, 1) + m1(3, 3) * m2(3, 1);
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result(3, 2) = m1(3, 0) * m2(0, 2) + m1(3, 1) * m2(1, 2) + m1(3, 2) * m2(2, 2) + m1(3, 3) * m2(3, 2);
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result(3, 3) = m1(3, 0) * m2(0, 3) + m1(3, 1) * m2(1, 3) + m1(3, 2) * m2(2, 3) + m1(3, 3) * m2(3, 3);
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return result;
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}
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@ -907,13 +923,14 @@ public:
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Point3F operator*(const Point3F& point) const {
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AssertFatal(rows == 4 && cols == 4, "Multiplying point3 with matrix requires 4x4");
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return Point3F(
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(*this)(0, 0) * point.x + (*this)(0, 1) * point.y + (*this)(0, 2) * point.z + (*this)(0, 3),
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(*this)(1, 0) * point.x + (*this)(1, 1) * point.y + (*this)(1, 2) * point.z + (*this)(1, 3),
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(*this)(2, 0) * point.x + (*this)(2, 1) * point.y + (*this)(2, 2) * point.z + (*this)(2, 3)
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);
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}
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Point3F result;
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result.x = (*this)(0, 0) * point.x + (*this)(0, 1) * point.y + (*this)(0, 2) * point.z + (*this)(0, 3);
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result.y = (*this)(1, 0) * point.x + (*this)(1, 1) * point.y + (*this)(1, 2) * point.z + (*this)(1, 3);
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result.z = (*this)(2, 0) * point.x + (*this)(2, 1) * point.y + (*this)(2, 2) * point.z + (*this)(2, 3);
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return result;
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}
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Point4F operator*(const Point4F& point) const {
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AssertFatal(rows == 4 && cols == 4, "Multiplying point4 with matrix requires 4x4");
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return Point4F(
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@ -964,7 +981,6 @@ public:
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return data[idx(col, row)];
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}
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};
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//--------------------------------------------
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@ -975,11 +991,13 @@ inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::transpose()
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{
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AssertFatal(rows == cols, "Transpose can only be performed on square matrices.");
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for (U32 i = 0; i < rows; ++i) {
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for (U32 j = i + 1; j < cols; ++j) {
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std::swap((*this)(i, j), (*this)(j, i));
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}
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}
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swap((*this)(0, 1), (*this)(1, 0));
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swap((*this)(0, 2), (*this)(2, 0));
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swap((*this)(0, 3), (*this)(3, 0));
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swap((*this)(1, 2), (*this)(2, 1));
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swap((*this)(1, 3), (*this)(3, 1));
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swap((*this)(2, 3), (*this)(3, 2));
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return (*this);
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}
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@ -1331,9 +1349,9 @@ inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::set(const E
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(*this) = Matrix<DATA_TYPE, rows, cols>(true);
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break;
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case AXIS_X:
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(*this)(0, 0) = 1.0f; (*this)(1, 0) = 0.0f; (*this)(2, 0) = 0.0f;
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(*this)(0, 1) = 0.0f; (*this)(1, 1) = cosPitch; (*this)(2, 1) = -sinPitch;
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(*this)(0, 2) = 0.0f; (*this)(1, 2) = sinPitch; (*this)(2, 2) = cosPitch;
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(*this)(0, 0) = 1.0f; (*this)(0, 1) = 0.0f; (*this)(0, 2) = 0.0f;
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(*this)(1, 0) = 0.0f; (*this)(1, 1) = cosPitch; (*this)(1, 2) = sinPitch;
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(*this)(2, 0) = 0.0f; (*this)(2, 1) = -sinPitch; (*this)(2, 2) = cosPitch;
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break;
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case AXIS_Y:
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(*this)(0, 0) = cosYaw; (*this)(1, 0) = 0.0f; (*this)(2, 0) = sinYaw;
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@ -1341,9 +1359,9 @@ inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::set(const E
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(*this)(0, 2) = -sinYaw; (*this)(1, 2) = 0.0f; (*this)(2, 2) = cosYaw;
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break;
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case AXIS_Z:
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(*this)(0, 0) = cosRoll; (*this)(1, 0) = -sinRoll; (*this)(2, 0) = 0.0f;
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(*this)(0, 1) = sinRoll; (*this)(1, 1) = cosRoll; (*this)(2, 1) = 0.0f;
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(*this)(0, 2) = 0.0f; (*this)(1, 2) = 0.0f; (*this)(2, 2) = 1.0f;
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(*this)(0, 0) = cosRoll; (*this)(0, 1) = sinRoll; (*this)(0, 2) = 0.0f;
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(*this)(1, 0) = -sinRoll; (*this)(1, 1) = cosRoll; (*this)(1, 2) = 0.0f;
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(*this)(2, 0) = 0.0f; (*this)(2, 1) = 0.0f; (*this)(2, 2) = 1.0f;
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break;
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default:
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F32 r1 = cosYaw * cosRoll;
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@ -1363,9 +1381,9 @@ inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::set(const E
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// r4 = sin(y) * sin(z)
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// init the euler 3x3 rotation matrix.
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(*this)(0, 0) = r1 - (r4 * sinPitch); (*this)(1, 0) = -cosPitch * sinRoll; (*this)(2, 0) = r3 + (r2 * sinPitch);
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(*this)(0, 1) = r2 + (r3 * sinPitch); (*this)(1, 1) = cosPitch * cosRoll; (*this)(2, 1) = r4 - (r1 * sinPitch);
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(*this)(0, 2) = -cosPitch * sinYaw; (*this)(1, 2) = sinPitch; (*this)(2, 2) = cosPitch * cosYaw;
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(*this)(0, 0) = r1 - (r4 * sinPitch); (*this)(0, 1) = r2 + (r3 * sinPitch); (*this)(0, 2) = -cosPitch * sinYaw;
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(*this)(1, 0) = -cosPitch * sinRoll; (*this)(1, 1) = cosPitch * cosRoll; (*this)(1, 2) = sinPitch;
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(*this)(2, 0) = r3 + (r2 * sinPitch); (*this)(2, 1) = r4 - (r1 * sinPitch); (*this)(2, 2) = cosPitch * cosYaw;
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break;
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}
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@ -1415,9 +1433,13 @@ inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::set(const E
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template<typename DATA_TYPE, U32 rows, U32 cols>
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inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::inverse()
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{
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// TODO: insert return statement here
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#if 0
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// NOTE: Gauss-Jordan elimination is yielding unpredictable results due to precission handling and
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// numbers near 0.0
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//
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AssertFatal(rows == cols, "Can only perform inverse on square matrices.");
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const U32 size = rows - 1;
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const DATA_TYPE pivot_eps = static_cast<DATA_TYPE>(1e-20); // Smaller epsilon to handle numerical precision
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// Create augmented matrix [this | I]
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Matrix<DATA_TYPE, size, rows + size> augmentedMatrix;
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@ -1436,11 +1458,14 @@ inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::inverse()
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{
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U32 pivotRow = i;
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DATA_TYPE pivotValue = std::abs(augmentedMatrix(i, i));
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for (U32 k = i + 1; k < size; k++)
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{
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// use std::abs until the templated math functions are in place.
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if (std::abs(augmentedMatrix(k, i)) > std::abs(augmentedMatrix(pivotRow, i))) {
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DATA_TYPE curValue = std::abs(augmentedMatrix(k, i));
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if (curValue > pivotValue) {
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pivotRow = k;
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pivotValue = curValue;
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}
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}
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@ -1449,18 +1474,20 @@ inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::inverse()
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{
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for (U32 j = 0; j < 2 * size; j++)
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{
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std::swap(augmentedMatrix(i, j), augmentedMatrix(pivotRow, j));
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DATA_TYPE temp = augmentedMatrix(i, j);
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augmentedMatrix(i, j) = augmentedMatrix(pivotRow, j);
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augmentedMatrix(pivotRow, j) = temp;
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}
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}
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// Early out if pivot is 0, return identity matrix.
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if (augmentedMatrix(i, i) == static_cast<DATA_TYPE>(0))
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if (std::abs(augmentedMatrix(i, i)) < pivot_eps)
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{
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this->identity();
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return *this;
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}
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DATA_TYPE pivotVal = 1.0f / augmentedMatrix(i, i);
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DATA_TYPE pivotVal = static_cast<DATA_TYPE>(1.0) / augmentedMatrix(i, i);
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// scale the pivot
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for (U32 j = 0; j < 2 * size; j++)
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@ -1489,6 +1516,44 @@ inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::inverse()
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(*this)(i, j) = augmentedMatrix(i, j + size);
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}
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}
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#else
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AssertFatal(rows == cols, "Can only perform inverse on square matrices.");
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AssertFatal(rows >= 3 && cols >= 3, "Must be at least a 3x3 matrix");
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DATA_TYPE det = determinant();
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// Check if the determinant is non-zero
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if (std::abs(det) < static_cast<DATA_TYPE>(1e-10)) {
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this->identity(); // Return the identity matrix if the determinant is zero
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return *this;
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}
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DATA_TYPE invDet = DATA_TYPE(1) / det;
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Matrix<DATA_TYPE, rows, cols> temp;
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// Calculate the inverse of the 3x3 upper-left submatrix using Cramer's rule
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temp(0, 0) = ((*this)(1, 1) * (*this)(2, 2) - (*this)(1, 2) * (*this)(2, 1)) * invDet;
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temp(0, 1) = ((*this)(2, 1) * (*this)(0, 2) - (*this)(2, 2) * (*this)(0, 1)) * invDet;
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temp(0, 2) = ((*this)(0, 1) * (*this)(1, 2) - (*this)(0, 2) * (*this)(1, 1)) * invDet;
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temp(1, 0) = ((*this)(1, 2) * (*this)(2, 0) - (*this)(1, 0) * (*this)(2, 2)) * invDet;
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temp(1, 1) = ((*this)(2, 2) * (*this)(0, 0) - (*this)(2, 0) * (*this)(0, 2)) * invDet;
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temp(1, 2) = ((*this)(0, 2) * (*this)(1, 0) - (*this)(0, 0) * (*this)(1, 2)) * invDet;
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temp(2, 0) = ((*this)(1, 0) * (*this)(2, 1) - (*this)(1, 1) * (*this)(2, 0)) * invDet;
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temp(2, 1) = ((*this)(2, 0) * (*this)(0, 1) - (*this)(2, 1) * (*this)(0, 0)) * invDet;
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temp(2, 2) = ((*this)(0, 0) * (*this)(1, 1) - (*this)(0, 1) * (*this)(1, 0)) * invDet;
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// Copy the 3x3 inverse back into this matrix
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for (U32 i = 0; i < 3; ++i)
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{
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for (U32 j = 0; j < 3; ++j)
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{
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(*this)(i, j) = temp(i, j);
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}
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}
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#endif
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Point3F pos = -this->getPosition();
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mulV(pos);
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@ -1500,13 +1565,136 @@ inline Matrix<DATA_TYPE, rows, cols>& Matrix<DATA_TYPE, rows, cols>::inverse()
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template<typename DATA_TYPE, U32 rows, U32 cols>
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inline bool Matrix<DATA_TYPE, rows, cols>::fullInverse()
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{
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Matrix<DATA_TYPE, rows, cols> inv = this->inverse();
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#if 0
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// NOTE: Gauss-Jordan elimination is yielding unpredictable results due to precission handling and
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// numbers near 0.0
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AssertFatal(rows == cols, "Can only perform inverse on square matrices.");
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const U32 size = rows;
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const DATA_TYPE pivot_eps = static_cast<DATA_TYPE>(1e-20); // Smaller epsilon to handle numerical precision
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if (inv.isIdentity())
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// Create augmented matrix [this | I]
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Matrix<DATA_TYPE, size, rows + size> augmentedMatrix;
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for (U32 i = 0; i < size; i++)
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{
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for (U32 j = 0; j < size; j++)
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{
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augmentedMatrix(i, j) = (*this)(i, j);
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augmentedMatrix(i, j + size) = (i == j) ? static_cast<DATA_TYPE>(1) : static_cast<DATA_TYPE>(0);
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}
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}
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// Apply gauss-joran elimination
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for (U32 i = 0; i < size; i++)
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{
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U32 pivotRow = i;
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DATA_TYPE pivotValue = std::abs(augmentedMatrix(i, i));
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for (U32 k = i + 1; k < size; k++)
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{
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DATA_TYPE curValue = std::abs(augmentedMatrix(k, i));
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if (curValue > pivotValue) {
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pivotRow = k;
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pivotValue = curValue;
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}
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}
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// Swap if needed.
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if (i != pivotRow)
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{
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for (U32 j = 0; j < 2 * size; j++)
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{
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DATA_TYPE temp = augmentedMatrix(i, j);
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augmentedMatrix(i, j) = augmentedMatrix(pivotRow, j);
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augmentedMatrix(pivotRow, j) = temp;
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}
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}
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// Early out if pivot is 0, return identity matrix.
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if (std::abs(augmentedMatrix(i, i)) < pivot_eps)
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{
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return false;
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}
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DATA_TYPE pivotVal = static_cast<DATA_TYPE>(1.0) / augmentedMatrix(i, i);
|
||||
|
||||
// scale the pivot
|
||||
for (U32 j = 0; j < 2 * size; j++)
|
||||
{
|
||||
augmentedMatrix(i, j) *= pivotVal;
|
||||
}
|
||||
|
||||
// Eliminate the current column in all other rows
|
||||
for (U32 k = 0; k < size; k++)
|
||||
{
|
||||
if (k != i)
|
||||
{
|
||||
DATA_TYPE factor = augmentedMatrix(k, i);
|
||||
for (U32 j = 0; j < 2 * size; j++)
|
||||
{
|
||||
augmentedMatrix(k, j) -= factor * augmentedMatrix(i, j);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (U32 i = 0; i < size; i++)
|
||||
{
|
||||
for (U32 j = 0; j < size; j++)
|
||||
{
|
||||
(*this)(i, j) = augmentedMatrix(i, j + size);
|
||||
}
|
||||
}
|
||||
#else
|
||||
AssertFatal(rows == cols, "Can only perform inverse on square matrices.");
|
||||
AssertFatal(rows >= 4 && cols >= 4, "Can only perform fullInverse on minimum 4x4 matrix");
|
||||
|
||||
Point4F a, b, c, d;
|
||||
getRow(0, &a);
|
||||
getRow(1, &b);
|
||||
getRow(2, &c);
|
||||
getRow(3, &d);
|
||||
|
||||
F32 det = a.x * b.y * c.z * d.w - a.x * b.y * c.w * d.z - a.x * c.y * b.z * d.w + a.x * c.y * b.w * d.z + a.x * d.y * b.z * c.w - a.x * d.y * b.w * c.z
|
||||
- b.x * a.y * c.z * d.w + b.x * a.y * c.w * d.z + b.x * c.y * a.z * d.w - b.x * c.y * a.w * d.z - b.x * d.y * a.z * c.w + b.x * d.y * a.w * c.z
|
||||
+ c.x * a.y * b.z * d.w - c.x * a.y * b.w * d.z - c.x * b.y * a.z * d.w + c.x * b.y * a.w * d.z + c.x * d.y * a.z * b.w - c.x * d.y * a.w * b.z
|
||||
- d.x * a.y * b.z * c.w + d.x * a.y * b.w * c.z + d.x * b.y * a.z * c.w - d.x * b.y * a.w * c.z - d.x * c.y * a.z * b.w + d.x * c.y * a.w * b.z;
|
||||
|
||||
if (mFabs(det) < 0.00001f)
|
||||
return false;
|
||||
|
||||
*this = inv;
|
||||
Point4F aa, bb, cc, dd;
|
||||
aa.x = b.y * c.z * d.w - b.y * c.w * d.z - c.y * b.z * d.w + c.y * b.w * d.z + d.y * b.z * c.w - d.y * b.w * c.z;
|
||||
aa.y = -a.y * c.z * d.w + a.y * c.w * d.z + c.y * a.z * d.w - c.y * a.w * d.z - d.y * a.z * c.w + d.y * a.w * c.z;
|
||||
aa.z = a.y * b.z * d.w - a.y * b.w * d.z - b.y * a.z * d.w + b.y * a.w * d.z + d.y * a.z * b.w - d.y * a.w * b.z;
|
||||
aa.w = -a.y * b.z * c.w + a.y * b.w * c.z + b.y * a.z * c.w - b.y * a.w * c.z - c.y * a.z * b.w + c.y * a.w * b.z;
|
||||
|
||||
bb.x = -b.x * c.z * d.w + b.x * c.w * d.z + c.x * b.z * d.w - c.x * b.w * d.z - d.x * b.z * c.w + d.x * b.w * c.z;
|
||||
bb.y = a.x * c.z * d.w - a.x * c.w * d.z - c.x * a.z * d.w + c.x * a.w * d.z + d.x * a.z * c.w - d.x * a.w * c.z;
|
||||
bb.z = -a.x * b.z * d.w + a.x * b.w * d.z + b.x * a.z * d.w - b.x * a.w * d.z - d.x * a.z * b.w + d.x * a.w * b.z;
|
||||
bb.w = a.x * b.z * c.w - a.x * b.w * c.z - b.x * a.z * c.w + b.x * a.w * c.z + c.x * a.z * b.w - c.x * a.w * b.z;
|
||||
|
||||
cc.x = b.x * c.y * d.w - b.x * c.w * d.y - c.x * b.y * d.w + c.x * b.w * d.y + d.x * b.y * c.w - d.x * b.w * c.y;
|
||||
cc.y = -a.x * c.y * d.w + a.x * c.w * d.y + c.x * a.y * d.w - c.x * a.w * d.y - d.x * a.y * c.w + d.x * a.w * c.y;
|
||||
cc.z = a.x * b.y * d.w - a.x * b.w * d.y - b.x * a.y * d.w + b.x * a.w * d.y + d.x * a.y * b.w - d.x * a.w * b.y;
|
||||
cc.w = -a.x * b.y * c.w + a.x * b.w * c.y + b.x * a.y * c.w - b.x * a.w * c.y - c.x * a.y * b.w + c.x * a.w * b.y;
|
||||
|
||||
dd.x = -b.x * c.y * d.z + b.x * c.z * d.y + c.x * b.y * d.z - c.x * b.z * d.y - d.x * b.y * c.z + d.x * b.z * c.y;
|
||||
dd.y = a.x * c.y * d.z - a.x * c.z * d.y - c.x * a.y * d.z + c.x * a.z * d.y + d.x * a.y * c.z - d.x * a.z * c.y;
|
||||
dd.z = -a.x * b.y * d.z + a.x * b.z * d.y + b.x * a.y * d.z - b.x * a.z * d.y - d.x * a.y * b.z + d.x * a.z * b.y;
|
||||
dd.w = a.x * b.y * c.z - a.x * b.z * c.y - b.x * a.y * c.z + b.x * a.z * c.y + c.x * a.y * b.z - c.x * a.z * b.y;
|
||||
|
||||
setRow(0, aa);
|
||||
setRow(1, bb);
|
||||
setRow(2, cc);
|
||||
setRow(3, dd);
|
||||
|
||||
mul(1.0f / det);
|
||||
#endif
|
||||
|
||||
return true;
|
||||
|
||||
}
|
||||
|
||||
template<typename DATA_TYPE, U32 rows, U32 cols>
|
||||
|
|
@ -1576,39 +1764,67 @@ inline void Matrix<DATA_TYPE, rows, cols>::mul(Box3F& box) const
|
|||
{
|
||||
AssertFatal(rows == 4 && cols == 4, "Multiplying Box3F with matrix requires 4x4");
|
||||
|
||||
// Save original min and max
|
||||
Point3F originalMin = box.minExtents;
|
||||
Point3F originalMax = box.maxExtents;
|
||||
// Extract the min and max extents
|
||||
const Point3F& originalMin = box.minExtents;
|
||||
const Point3F& originalMax = box.maxExtents;
|
||||
|
||||
// Initialize min and max with the translation part of the matrix
|
||||
box.minExtents.x = box.maxExtents.x = (*this)(0, 3);
|
||||
box.minExtents.y = box.maxExtents.y = (*this)(1, 3);
|
||||
box.minExtents.z = box.maxExtents.z = (*this)(2, 3);
|
||||
// Array to store transformed corners
|
||||
Point3F transformedCorners[8];
|
||||
|
||||
for (U32 i = 0; i < 3; ++i) {
|
||||
#define Do_One_Row(j) { \
|
||||
DATA_TYPE a = ((*this)(i, j) * originalMin[j]); \
|
||||
DATA_TYPE b = ((*this)(i, j) * originalMax[j]); \
|
||||
if (a < b) { box.minExtents[i] += a; box.maxExtents[i] += b; } \
|
||||
else { box.minExtents[i] += b; box.maxExtents[i] += a; } }
|
||||
// Compute all 8 corners of the box
|
||||
Point3F corners[8] = {
|
||||
{originalMin.x, originalMin.y, originalMin.z},
|
||||
{originalMax.x, originalMin.y, originalMin.z},
|
||||
{originalMin.x, originalMax.y, originalMin.z},
|
||||
{originalMax.x, originalMax.y, originalMin.z},
|
||||
{originalMin.x, originalMin.y, originalMax.z},
|
||||
{originalMax.x, originalMin.y, originalMax.z},
|
||||
{originalMin.x, originalMax.y, originalMax.z},
|
||||
{originalMax.x, originalMax.y, originalMax.z}
|
||||
};
|
||||
|
||||
Do_One_Row(0);
|
||||
Do_One_Row(1);
|
||||
Do_One_Row(2);
|
||||
// Transform each corner
|
||||
for (U32 i = 0; i < 8; ++i)
|
||||
{
|
||||
const Point3F& corner = corners[i];
|
||||
transformedCorners[i].x = (*this)(0, 0) * corner.x + (*this)(0, 1) * corner.y + (*this)(0, 2) * corner.z + (*this)(0, 3);
|
||||
transformedCorners[i].y = (*this)(1, 0) * corner.x + (*this)(1, 1) * corner.y + (*this)(1, 2) * corner.z + (*this)(1, 3);
|
||||
transformedCorners[i].z = (*this)(2, 0) * corner.x + (*this)(2, 1) * corner.y + (*this)(2, 2) * corner.z + (*this)(2, 3);
|
||||
}
|
||||
|
||||
// Initialize min and max extents to the transformed values
|
||||
Point3F newMin = transformedCorners[0];
|
||||
Point3F newMax = transformedCorners[0];
|
||||
|
||||
// Compute the new min and max extents from the transformed corners
|
||||
for (U32 i = 1; i < 8; ++i)
|
||||
{
|
||||
const Point3F& corner = transformedCorners[i];
|
||||
if (corner.x < newMin.x) newMin.x = corner.x;
|
||||
if (corner.y < newMin.y) newMin.y = corner.y;
|
||||
if (corner.z < newMin.z) newMin.z = corner.z;
|
||||
|
||||
if (corner.x > newMax.x) newMax.x = corner.x;
|
||||
if (corner.y > newMax.y) newMax.y = corner.y;
|
||||
if (corner.z > newMax.z) newMax.z = corner.z;
|
||||
}
|
||||
|
||||
// Update the box with the new min and max extents
|
||||
box.minExtents = newMin;
|
||||
box.maxExtents = newMax;
|
||||
}
|
||||
|
||||
template<typename DATA_TYPE, U32 rows, U32 cols>
|
||||
inline bool Matrix<DATA_TYPE, rows, cols>::isAffine() const
|
||||
{
|
||||
if ((*this)(rows - 1, cols - 1) != 1.0f)
|
||||
if ((*this)(3, 3) != 1.0f)
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
for (U32 col = 0; col < cols - 1; ++col)
|
||||
{
|
||||
if ((*this)(rows - 1, col) != 0.0f)
|
||||
if ((*this)(3, col) != 0.0f)
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
|
@ -1744,11 +1960,8 @@ inline void mTransformPlane(
|
|||
const PlaneF& plane,
|
||||
PlaneF* result
|
||||
) {
|
||||
// Create a non-const copy of the matrix
|
||||
MatrixF matCopy = mat;
|
||||
|
||||
// Create the inverse scale matrix
|
||||
MatrixF invScale = MatrixF::Identity;
|
||||
MatrixF invScale(true);
|
||||
invScale(0, 0) = 1.0f / scale.x;
|
||||
invScale(1, 1) = 1.0f / scale.y;
|
||||
invScale(2, 2) = 1.0f / scale.z;
|
||||
|
|
@ -1764,7 +1977,7 @@ inline void mTransformPlane(
|
|||
const F32 C = -mDot(row2, shear);
|
||||
|
||||
// Compute the inverse transpose of the matrix
|
||||
MatrixF invTrMatrix = MatrixF::Identity;
|
||||
MatrixF invTrMatrix(true);
|
||||
invTrMatrix(0, 0) = mat(0, 0);
|
||||
invTrMatrix(0, 1) = mat(0, 1);
|
||||
invTrMatrix(0, 2) = mat(0, 2);
|
||||
|
|
|
|||
|
|
@ -801,6 +801,73 @@ TEST(MatrixTest, TestMatrixAdd)
|
|||
|
||||
}
|
||||
|
||||
TEST(MatrixTest, TestCalcPlaneCulls)
|
||||
{
|
||||
Point3F lightDir(-0.346188605f, -0.742403805f, -0.573576510f);
|
||||
const F32 shadowDistance = 100.0f;
|
||||
// frustum transform
|
||||
MatrixF test(true);
|
||||
|
||||
test(0, 0) = -0.8930f; test(0, 1) = 0.3043f; test(0, 2) = 0.3314f; test(0, 3) = -8.3111f;
|
||||
test(1, 0) = -0.4499f; test(1, 1) = -0.6039f; test(1, 2) = -0.6578f; test(1, 3) = 8.4487f;
|
||||
test(2, 0) = -0.0f; test(2, 1) = -0.7366f; test(2, 2) = 0.6763f; test(2, 3) = 12.5414f;
|
||||
test(0, 0) = 0.00f; test(0, 1) = 0.0f; test(0, 2) = 0.0f; test(0, 3) = 1.0f;
|
||||
|
||||
Box3F viewBB(-shadowDistance, -shadowDistance, -shadowDistance,
|
||||
shadowDistance, shadowDistance, shadowDistance);
|
||||
|
||||
Frustum testFrustum(false, -0.119894862f, 0.119894862f, 0.0767327100f, -0.0767327100f, 0.1f, 1000.0f, test);
|
||||
testFrustum.getTransform().mul(viewBB);
|
||||
|
||||
testFrustum.cropNearFar(0.1f, shadowDistance);
|
||||
|
||||
PlaneF lightFarPlane, lightNearPlane;
|
||||
|
||||
Point3F viewDir = testFrustum.getTransform().getForwardVector();
|
||||
EXPECT_NEAR(viewDir.x, 0.0f, 0.001f); EXPECT_NEAR(viewDir.y, -0.6039f, 0.001f); EXPECT_NEAR(viewDir.z, -0.7365f, 0.001f);
|
||||
|
||||
viewDir.normalize();
|
||||
const Point3F viewPosition = testFrustum.getPosition();
|
||||
EXPECT_NEAR(viewPosition.x, 1.0f, 0.001f); EXPECT_NEAR(viewPosition.y, 8.4486f, 0.001f); EXPECT_NEAR(viewPosition.z, 12.5414f, 0.001f);
|
||||
|
||||
const F32 viewDistance = testFrustum.getBounds().len();
|
||||
EXPECT_NEAR(viewDistance, 243.6571f, 0.001f);
|
||||
|
||||
lightNearPlane = PlaneF(viewPosition + (viewDistance * -lightDir), lightDir);
|
||||
|
||||
const Point3F lightFarPlanePos = viewPosition + (viewDistance * lightDir);
|
||||
lightFarPlane = PlaneF(lightFarPlanePos, -lightDir);
|
||||
|
||||
MatrixF invLightFarPlaneMat(true);
|
||||
|
||||
MatrixF lightFarPlaneMat = MathUtils::createOrientFromDir(-lightDir);
|
||||
lightFarPlaneMat.setPosition(lightFarPlanePos);
|
||||
lightFarPlaneMat.invertTo(&invLightFarPlaneMat);
|
||||
|
||||
Vector<Point2F> projVertices;
|
||||
|
||||
//project all frustum vertices into plane
|
||||
// all vertices are 2d and local to far plane
|
||||
projVertices.setSize(8);
|
||||
for (int i = 0; i < 8; ++i) //
|
||||
{
|
||||
const Point3F& point = testFrustum.getPoints()[i];
|
||||
|
||||
Point3F localPoint(lightFarPlane.project(point));
|
||||
invLightFarPlaneMat.mulP(localPoint);
|
||||
projVertices[i] = Point2F(localPoint.x, localPoint.z);
|
||||
}
|
||||
|
||||
EXPECT_NEAR(projVertices[0].x, 0.0240f, 0.001f); EXPECT_NEAR(projVertices[0].y, 0.0117f, 0.001f);
|
||||
EXPECT_NEAR(projVertices[1].x, 0.0696f, 0.001f); EXPECT_NEAR(projVertices[1].y, 0.0678f, 0.001f);
|
||||
EXPECT_NEAR(projVertices[2].x, -0.0186f, 0.001f); EXPECT_NEAR(projVertices[2].y, -0.1257f, 0.001f);
|
||||
EXPECT_NEAR(projVertices[3].x, 0.0269f, 0.001f); EXPECT_NEAR(projVertices[3].y, -0.0696f, 0.001f);
|
||||
EXPECT_NEAR(projVertices[4].x, 24.0571f, 0.001f); EXPECT_NEAR(projVertices[4].y, 11.7618f, 0.001f);
|
||||
EXPECT_NEAR(projVertices[5].x, 69.6498f, 0.001f); EXPECT_NEAR(projVertices[5].y, 67.8426f, 0.001f);
|
||||
EXPECT_NEAR(projVertices[6].x, -18.6059f, 0.001f); EXPECT_NEAR(projVertices[6].y, -125.7341f, 0.001f);
|
||||
EXPECT_NEAR(projVertices[7].x, 26.9866f, 0.001f); EXPECT_NEAR(projVertices[7].y, -69.6534f, 0.001f);
|
||||
}
|
||||
|
||||
TEST(MatrixTest, TestFrustumProjectionMatrix)
|
||||
{
|
||||
MatrixF test(true);
|
||||
|
|
|
|||
Loading…
Reference in a new issue