4 Commits

Author SHA1 Message Date
Godzil
0621ca86e1 Change width to size, as it is more correct.
Add calculation of determinant, submatric, minorm cofactor and inverse of a matrix.
2020-02-14 19:19:36 +00:00
Godzil
9f2a41e6f3 Change default precision to float instead of double (need to investigate there)
Also add a way to dynamically change the precision (needed for some test that don't use non full precision result matrix)
2020-02-14 19:18:43 +00:00
Godzil
95c7616646 Moving some functions around to keep the header a bit more tidy 2020-02-14 17:52:47 +00:00
Godzil
c4c216647d First batch of matrix related functions 2020-02-14 17:49:51 +00:00
7 changed files with 670 additions and 4 deletions

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@@ -3,8 +3,8 @@
# First most is build as a library
add_library(rayonnement STATIC)
set(RAY_HEADERS include/tuples.h include/math_helper.h include/colour.h include/canvas.h)
set(RAY_SOURCES tuples.cpp math_helper.cpp colour.cpp canvas.cpp)
set(RAY_HEADERS include/tuples.h include/math_helper.h include/colour.h include/canvas.h include/matrix.h)
set(RAY_SOURCES tuples.cpp math_helper.cpp colour.cpp canvas.cpp matrix.cpp)
target_include_directories(rayonnement PUBLIC include)
target_sources(rayonnement PRIVATE ${RAY_HEADERS} ${RAY_SOURCES})

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@@ -10,6 +10,7 @@
#ifndef DORAYME_MATH_HELPER_H
#define DORAYME_MATH_HELPER_H
void set_equal_precision(double v);
bool double_equal(double a, double b);
#endif //DORAYME_MATH_HELPER_H

67
source/include/matrix.h Normal file
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@@ -0,0 +1,67 @@
/*
* DoRayMe - a quick and dirty Raytracer
* Matrix header
*
* Created by Manoël Trapier
* Copyright (c) 2020 986-Studio.
*
*/
#ifndef DORAYME_MATRIX_H
#define DORAYME_MATRIX_H
#include <tuples.h>
class Matrix
{
protected:
/* 4x4 is the default */
double data[4*4];
int size;
public:
Matrix(int size);
Matrix(double values[], int size);
double get(int x, int y) const { return this->data[this->size * x + y]; };
void set(int x, int y, double v) { this->data[this->size * x + y] = v; };
Matrix identity();
Matrix transpose();
double determinant();
Matrix submatrix(int row, int column);
Matrix inverse();
double minor(int row, int column) { return this->submatrix(row, column).determinant(); }
double cofactor(int row, int column) { return (((column+row)&1)?-1:1) * this->minor(row, column); }
bool operator==(const Matrix &b) const;
bool operator!=(const Matrix &b) const;
bool isInvertible() { return this->determinant() != 0; }
Matrix operator*(const Matrix &b) const;
Tuple operator*(const Tuple &b) const;
};
class Matrix4: public Matrix
{
public:
Matrix4() : Matrix(4) { };
Matrix4(double values[]) : Matrix(values, 4) { };
};
class Matrix3 : public Matrix
{
public:
Matrix3() : Matrix(3) { };
Matrix3(double values[]) : Matrix(values, 3) { };
};
class Matrix2 : public Matrix
{
private:
using Matrix::data;
public:
Matrix2() : Matrix(2) { };
Matrix2(double values[]) : Matrix(values, 2) { };
};
#endif /* DORAYME_MATRIX_H */

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@@ -11,7 +11,14 @@
#include <float.h>
#include <math_helper.h>
static double current_precision = FLT_EPSILON;
void set_equal_precision(double v)
{
current_precision = v;
}
bool double_equal(double a, double b)
{
return fabs(a - b) < DBL_EPSILON;
return fabs(a - b) < current_precision;
}

201
source/matrix.cpp Normal file
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@@ -0,0 +1,201 @@
/*
* DoRayMe - a quick and dirty Raytracer
* Matrix implementation
*
* Created by Manoël Trapier
* Copyright (c) 2020 986-Studio.
*
*/
#include <stdio.h>
#include <matrix.h>
#include <tuples.h>
#include <math_helper.h>
Matrix::Matrix(int width)
{
int i;
this->size = width;
for(i = 0; i < width*width; i++)
{
this->data[i] = 0;
}
};
Matrix::Matrix(double values[], int width)
{
int x, y;
this->size = width;
for(y = 0; y < this->size; y++)
{
for (x = 0 ; x < this->size ; x++)
{
this->data[this->size * x + y] = values[this->size * x + y];
}
}
};
bool Matrix::operator==(const Matrix &b) const
{
int i;
if (this->size != b.size)
{
/* If they are not the same size don't even bother */
return false;
}
for(i = 0; i < this->size*this->size; i++)
{
if (!double_equal(this->data[i], b.data[i]))
{
return false;
}
}
return true;
}
bool Matrix::operator!=(const Matrix &b) const
{
int i;
if (this->size != b.size)
{
/* If they are not the same size don't even bother */
return true;
}
for(i = 0; i < this->size*this->size; i++)
{
if (!double_equal(this->data[i], b.data[i]))
{
return true;
}
}
return false;
}
Matrix Matrix::operator*(const Matrix &b) const
{
int x, y, k;
Matrix ret = Matrix(this->size);
if (this->size == b.size)
{
for (y = 0 ; y < this->size ; y++)
{
for (x = 0 ; x < this->size ; x++)
{
double v = 0;
for (k = 0 ; k < this->size ; k++)
{
v += this->get(x, k) * b.get(k, y);
}
ret.set(x, y, v);
}
}
}
return ret;
}
Tuple Matrix::operator*(const Tuple &b) const
{
return Tuple(b.x * this->get(0, 0) + b.y * this->get(0, 1) + b.z * this->get(0, 2) + b.w * this->get(0, 3),
b.x * this->get(1, 0) + b.y * this->get(1, 1) + b.z * this->get(1, 2) + b.w * this->get(1, 3),
b.x * this->get(2, 0) + b.y * this->get(2, 1) + b.z * this->get(2, 2) + b.w * this->get(2, 3),
b.x * this->get(3, 0) + b.y * this->get(3, 1) + b.z * this->get(3, 2) + b.w * this->get(3, 3));
}
Matrix Matrix::identity()
{
int i;
for(i = 0; i < this->size; i++)
{
this->set(i, i, 1);
}
return *this;
}
Matrix Matrix::transpose()
{
int x, y;
Matrix ret = Matrix(this->size);
for (y = 0 ; y < this->size ; y++)
{
for (x = 0 ; x < this->size ; x++)
{
ret.set(y, x, this->get(x, y));
}
}
return ret;
}
Matrix Matrix::submatrix(int row, int column)
{
int i, j;
int x = 0, y = 0;
Matrix ret = Matrix(this->size - 1);
for (i = 0 ; i < this->size ; i++)
{
if (i == row)
{
/* Skip that row */
continue;
}
y = 0;
for (j = 0 ; j < this->size ; j++)
{
if (j == column)
{
/* skip that column */
continue;
}
ret.set(x, y, this->get(i, j));
y++;
}
x++;
}
return ret;
}
double Matrix::determinant()
{
double det = 0;
if (this->size == 2)
{
det = this->data[0] * this->data[3] - this->data[1] * this->data[2];
}
else
{
int col;
for(col = 0; col < this->size; col++)
{
det = det + this->get(0, col) * this->cofactor(0, col);
}
}
return det;
}
Matrix Matrix::inverse()
{
Matrix ret = Matrix(this->size);
if (this->isInvertible())
{
int row, col;
double c;
for (row = 0; row < this->size; row++)
{
for (col = 0; col < this->size; col++)
{
c = this->cofactor(row, col);
ret.set(col, row, c / this->determinant());
}
}
}
return ret;
}

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@@ -3,7 +3,7 @@ project(DoRayTested)
set(THREADS_PREFER_PTHREAD_FLAG ON)
find_package(Threads REQUIRED)
set(TESTS_SRC tuples_test.cpp colour_test.cpp canvas_test.cpp)
set(TESTS_SRC tuples_test.cpp colour_test.cpp canvas_test.cpp matrix_test.cpp)
add_executable(testMyRays)
target_include_directories(testMyRays PUBLIC ${gtest_SOURCE_DIR}/include ${gtest_SOURCE_DIR})

390
tests/matrix_test.cpp Normal file
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@@ -0,0 +1,390 @@
/*
* DoRayMe - a quick and dirty Raytracer
* Matric unit tests
*
* Created by Manoël Trapier
* Copyright (c) 2020 986-Studio.
*
*/
#include <matrix.h>
#include <tuples.h>
#include <math.h>
#include <gtest/gtest.h>
TEST(MatrixTest, Constructing_and_inspecting_a_4x4_Matrix)
{
double values[] = {1, 2, 3, 4,
5.5, 6.5, 7.5, 8.5,
9, 10, 11, 12,
13.5, 14.5, 15.5, 16.5};
Matrix4 m = Matrix4(values);
ASSERT_EQ(m.get(0, 0), 1);
ASSERT_EQ(m.get(0, 3), 4);
ASSERT_EQ(m.get(1, 0), 5.5);
ASSERT_EQ(m.get(1, 2), 7.5);
ASSERT_EQ(m.get(2, 2), 11);
ASSERT_EQ(m.get(3, 0), 13.5);
ASSERT_EQ(m.get(3, 2), 15.5);
}
TEST(MatrixTest, A_2x2_matric_ought_to_be_representable)
{
double values[] = {-3, 5,
1, -2};
Matrix2 m = Matrix2(values);
ASSERT_EQ(m.get(0, 0), -3);
ASSERT_EQ(m.get(0, 1), 5);
ASSERT_EQ(m.get(1, 0), 1);
ASSERT_EQ(m.get(1, 1), -2);
}
TEST(MatrixTest, A_3x3_matric_ought_to_be_representable)
{
double values[] = {-3, 5, 0,
1, -2, -7,
0, 1, 1};
Matrix3 m = Matrix3(values);
ASSERT_EQ(m.get(0, 0), -3);
ASSERT_EQ(m.get(1, 1), -2);
ASSERT_EQ(m.get(2, 2), 1);
}
TEST(MatrixTest, Matrix_equality_with_identical_matrix)
{
double values1[] = {1, 2, 3, 4,
5, 6, 7, 8,
9, 8, 7, 6,
5, 4, 3, 2};
double values2[] = {1, 2, 3, 4,
5, 6, 7, 8,
9, 8, 7, 6,
5, 4, 3, 2};
Matrix4 A = Matrix4(values1);
Matrix4 B = Matrix4(values2);
ASSERT_EQ(A, B);
}
TEST(MatrixTest, Matrix_equality_with_different_matrix)
{
double values1[] = {1, 2, 3, 4,
5, 6, 7, 8,
9, 8, 7, 6,
5, 4, 3, 2};
double values2[] = {2, 3, 4, 5,
6, 7, 8, 9,
8, 7, 6, 5,
4, 3, 2, 1};
Matrix4 A = Matrix4(values1);
Matrix4 B = Matrix4(values2);
ASSERT_NE(A, B);
}
TEST(MatrixTest, Multiplying_two_matrices)
{
double values1[] = {1, 2, 3, 4,
5, 6, 7, 8,
9, 8, 7, 6,
5, 4, 3, 2};
double values2[] = {-2, 1, 2, 3,
3, 2, 1, -1,
4, 3, 6, 5,
1, 2, 7, 8};
double results[] = {20, 22, 50, 48,
44, 54, 114, 108,
40, 58, 110, 102,
16, 26, 46, 42};
Matrix4 A = Matrix4(values1);
Matrix4 B = Matrix4(values2);
ASSERT_EQ(A * B, Matrix4(results));
}
TEST(MatrixTest, A_matrix_multiplyed_by_a_tuple)
{
double valuesA[] = {1, 2, 3, 4,
2, 4, 4, 2,
8, 6, 4, 1,
0, 0, 0, 1};
Matrix4 A = Matrix4(valuesA);
Tuple b = Tuple(1, 2, 3, 1);
ASSERT_EQ(A * b, Tuple(18, 24, 33, 1));
}
TEST(MatrixTest, Multiplying_a_matrix_by_the_identity_matrix)
{
double valuesA[] = {0, 1, 2, 4,
1, 2, 4, 8,
2, 4, 8, 16,
4, 8, 16, 32};
Matrix4 A = Matrix4(valuesA);
Matrix ident = Matrix4().identity();
ASSERT_EQ(A * ident, A);
}
TEST(MatrixTest, Multiplying_the_identity_matrix_by_a_tuple)
{
Tuple a = Tuple(1, 2, 3, 4);
Matrix ident = Matrix4().identity();
ASSERT_EQ(ident * a, a);
}
TEST(MatrixTest, Transposing_a_matrix)
{
double valuesA[] = {0, 9, 3, 0,
9, 8, 0, 8,
1, 8, 5, 3,
0, 0, 5, 8};
double results[] = {0, 9, 1, 0,
9, 8, 8, 0,
3, 0, 5, 5,
0, 8, 3, 8};
Matrix A = Matrix4(valuesA);
ASSERT_EQ(A.transpose(), Matrix4(results));
}
TEST(MatrixTest, Transposing_this_identity_matrix)
{
Matrix ident = Matrix4().identity();
ASSERT_EQ(ident.transpose(), ident);
}
TEST(MatrixTest, Calculating_the_determinant_of_a_2x2_matrix)
{
double valuesA[] = { 1, 5,
-3, 2 };
Matrix2 A = Matrix2(valuesA);
ASSERT_EQ(A.determinant(), 17);
}
TEST(MatrixTest, A_submatrix_of_a_3x3_matrix_is_a_2x2_matrix)
{
double valuesA[] = { 1, 5, 0,
-3, 2, 7,
0, 6, -3 };
double results[] = { -3, 2,
0, 6 };
Matrix3 A = Matrix3(valuesA);
ASSERT_EQ(A.submatrix(0, 2), Matrix2(results));
}
TEST(MatrixTest, A_submatrix_of_a_4x4_matrix_is_a_3x3_matrix)
{
double valuesA[] = { -6, 1, 1, 6,
-8, 5, 8, 6,
-1, 0, 8, 2,
-7, 1, -1, 1 };
double results[] = { -6, 1, 6,
-8, 8, 6,
-7,-1, 1 };
Matrix4 A = Matrix4(valuesA);
ASSERT_EQ(A.submatrix(2, 1), Matrix3(results));
}
TEST(MatrixTest, Calculate_a_minor_of_a_3x3_matrix)
{
double valuesA[] = { 3, 5, 0,
2, -1, -7,
6, -1, 5 };
Matrix3 A = Matrix3(valuesA);
Matrix B = A.submatrix(1, 0);
ASSERT_EQ(B.determinant(), 25);
ASSERT_EQ(A.minor(1, 0), 25);
}
TEST(MatrixTest, Calculating_a_cofactor_of_a_3x3_matrix)
{
double valuesA[] = { 3, 5, 0,
2, -1, -7,
6, -1, 5 };
Matrix3 A = Matrix3(valuesA);
ASSERT_EQ(A.minor(0, 0), -12);
ASSERT_EQ(A.cofactor(0, 0), -12);
ASSERT_EQ(A.minor(1, 0), 25);
ASSERT_EQ(A.cofactor(1, 0), -25);
}
TEST(MatrixTest, Calculating_the_determinant_of_a_3x3_matrix)
{
double valuesA[] = { 1, 2, 6,
-5, 8, -4,
2, 6, 4 };
Matrix A = Matrix3(valuesA);
ASSERT_EQ(A.cofactor(0, 0), 56);
ASSERT_EQ(A.cofactor(0, 1), 12);
ASSERT_EQ(A.minor(0, 2), -46);
ASSERT_EQ(A.determinant(), -196);
}
TEST(MatrixTest, Calculating_the_determinant_of_a_4x4_matrix)
{
double valuesA[] = { -2, -8, 3, 5,
-3, 1, 7, 3,
1, 2, -9, 6,
-6, 7, 7, -9 };
Matrix A = Matrix4(valuesA);
ASSERT_EQ(A.cofactor(0, 0), 690);
ASSERT_EQ(A.cofactor(0, 1), 447);
ASSERT_EQ(A.cofactor(0, 2), 210);
ASSERT_EQ(A.minor(0, 3), -51);
ASSERT_EQ(A.determinant(), -4071);
}
TEST(MatrixTest, Testing_an_invertible_matrix_for_invertibility)
{
double valuesA[] = { 6, 4, 4, 4,
5, 5, 7, 6,
4, -9, 3, -7,
9, 1, 7, -6 };
Matrix A = Matrix4(valuesA);
ASSERT_EQ(A.determinant(), -2120);
ASSERT_TRUE(A.isInvertible());
}
TEST(MatrixTest, Testing_an_noninvertible_matrix_for_invertibility)
{
double valuesA[] = { -4, 2, -2, -3,
9, 6, 2, 6,
0, -5, 1, -5,
0, 0, 0, 0 };
Matrix A = Matrix4(valuesA);
ASSERT_EQ(A.determinant(), 0);
ASSERT_FALSE(A.isInvertible());
}
TEST(MatrixTest, Calculating_the_inverse_of_a_matrix)
{
double valuesA[] = { -5, 2, 6, -8,
1, -5, 1, 8,
7, 7, -6, -7,
1, -3, 7, 4 };
double results[] = { 0.21805, 0.45113, 0.24060, -0.04511,
-0.80827, -1.45677, -0.44361, 0.52068,
-0.07895, -0.22368, -0.05263, 0.19737,
-0.52256, -0.81391, -0.30075, 0.30639 };
Matrix A = Matrix4(valuesA);
Matrix B = A.inverse();
ASSERT_EQ(A.determinant(), 532);
ASSERT_EQ(A.cofactor(2, 3), -160);
ASSERT_NEAR(B.get(3, 2), -160./532., DBL_EPSILON);
ASSERT_EQ(A.cofactor(3, 2), 105);
ASSERT_NEAR(B.get(2, 3), 105./532., DBL_EPSILON);
/* Temporary lower the precision */
set_equal_precision(0.00001);
ASSERT_EQ(B, Matrix4(results));
/* Revert to default */
set_equal_precision(FLT_EPSILON);
}
TEST(MatrixTest, Calculating_the_inverse_of_another_matrix)
{
double valuesA[] = { 8, -5, 9, 2,
7, 5, 6, 1,
-6, 0, 9, 6,
-3, 0, -9, -4 };
double results[] = { -0.15385, -0.15385, -0.28205, -0.53846,
-0.07692, 0.12308, 0.02564, 0.03077,
0.35897, 0.35897, 0.43590, 0.92308,
-0.69231, -0.69231, -0.76923, -1.92308 };
Matrix A = Matrix4(valuesA);
Matrix B = A.inverse();
/* Temporary lower the precision */
set_equal_precision(0.00001);
ASSERT_EQ(B, Matrix4(results));
/* Revert to default */
set_equal_precision(FLT_EPSILON);
}
TEST(MatrixTest, Calculating_the_inverse_of_third_matrix)
{
double valuesA[] = { 9, 3, 0, 9,
-5, -2, -6, -3,
-4, 9, 6, 4,
-7, 6, 6, 2 };
double results[] = { -0.04074, -0.07778, 0.14444, -0.22222,
-0.07778, 0.03333, 0.36667, -0.33333,
-0.02901, -0.14630, -0.10926, 0.12963,
0.17778, 0.06667, -0.26667, 0.33333 };
Matrix A = Matrix4(valuesA);
Matrix B = A.inverse();
/* Temporary lower the precision */
set_equal_precision(0.00001);
ASSERT_EQ(B, Matrix4(results));
/* Revert to default */
set_equal_precision(FLT_EPSILON);
}
TEST(MatrixTest, Multiplying_a_product_by_its_inverse)
{
double valuesA[] = { 3, -9, 7, 3,
3, -8, 2, -9,
-4, 4, 4, 1,
-6, 5, -1, 1 };
double valuesB[] = { 8, 2, 2, 2,
3, -1, 7, 0,
7, 0, 5, 4,
6, -2, 0, 5 };
Matrix A = Matrix4(valuesA);
Matrix B = Matrix4(valuesB);
Matrix C = A * B;
ASSERT_EQ(C * B.inverse(), A);
}