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3D数学 矩阵和线性变换之缩放
阅读量:4088 次
发布时间:2019-05-25

本文共 6438 字,大约阅读时间需要 21 分钟。

矩阵和线性变换之缩放

1. 具有缩放效果的矩阵是怎样的?

我们这里只做沿着x、y、z轴方向的缩放,至于沿着任意方向的缩放比较复杂而且也很少用,所以暂时不介绍。如下图所示,原理非常简单,x、y、z乘上对应的缩放系数kx,ky,kz就得到了缩放后的结果。

缩放

2. 缩放矩阵编程示例

void Matrix3X3::setScale(Vector3& vec){    m11 = vec.x;    m12 = 0;        m13 = 0;    m21 = 0;        m22 = vec.y;    m23 = 0;    m31 = 0;        m32 = 0;        m33 = vec.z;}

3. 缩放矩阵编程完整示例代码

//Vector3.h#pragma onceclass Vector3{public:    Vector3();    Vector3(float X,float Y,float Z);    //变为零向量    void Zero();    //求负向量    Vector3 operator-() const;    //求向量大小(长度或模)    float Length() const;    //标准化该向量    void Normal();    //向量的加法    Vector3 operator+(Vector3 &rhs) const;    Vector3& operator+=(Vector3 &rhs);    //向量的减法    Vector3 operator-(Vector3 &rhs) const;    Vector3& operator-=(Vector3 &rhs);    //向量乘标量    Vector3 operator*(float scalar);    //向量乘等于标量    Vector3& operator*=(float scalar);    //向量除以等于标量    Vector3& operator/=(float scalar);    //向量除以标量    Vector3 operator/(float scalar);    //距离公式    float Distance(Vector3 &vec) const;    //向量点乘    float operator*(Vector3 &rhs) const;    //向量叉积    Vector3 CrossProduct(Vector3& vec) const;public:    float x,y,z;};//标量乘向量Vector3 operator*(float scalar, Vector3& vec);
//Vector3.cpp#include "Vector3.h"#include 
Vector3::Vector3():x(0.0),y(0.0),z(0.0){}Vector3::Vector3(float X,float Y,float Z):x(X),y(Y),z(Z){}void Vector3::Zero(){ x = y = z = 0;}Vector3 Vector3::operator-() const{ return Vector3(-x,-y,-z);}float Vector3::Length() const{ return sqrt(x*x+y*y+z*z);}Vector3 Vector3::operator*(float scalar){ return Vector3(this->x * scalar, this->y * scalar, this->z * scalar);}Vector3& Vector3::operator*=(float scalar){ return *this = *this * scalar;}Vector3& Vector3::operator/=(float scalar){ return *this = *this / scalar;}Vector3 operator*(float scalar, Vector3& vec){ return vec*scalar;}Vector3 Vector3::operator/(float scalar){ float temp = 1/ scalar; return *this * temp;}void Vector3::Normal(){ //计算机计算乘法的速度比除法快 float temp = 1 / Length(); x *= temp; y *= temp; z *= temp;}Vector3 Vector3::operator+(Vector3& rhs) const{ return Vector3(x+rhs.x,y+rhs.y,z+rhs.z);}Vector3& Vector3::operator+=(Vector3& rhs){ *this = *this + rhs; return *this;}Vector3 Vector3::operator-(Vector3& rhs) const{ return Vector3(x-rhs.x,y-rhs.y,z-rhs.z);}Vector3& Vector3::operator-=(Vector3& rhs){ *this = *this - rhs; return *this;}float Vector3::Distance(Vector3& vec) const{ return (*this - vec).Length();}float Vector3::operator*(Vector3& rhs) const{ return this->x * rhs.x + this->y * rhs.y + this->z * rhs.z;}Vector3 Vector3::CrossProduct(Vector3& vec) const{ return Vector3(this->y * vec.z - this->z * vec.y, this->z * vec.x - this->x * vec.z, this->x * vec.y - this->y * vec.x);}
//MathUtil.h#pragma once#include 
enum E_Axis{Axis_x,Axis_y,Axis_z};const float Pi = 3.14159;
//Matrix3X3.h#pragma once#include "MathUtil.h"#include "Vector3.h"class Matrix3X3{public:    //矩阵相乘    Matrix3X3 operator*(Matrix3X3& rhs);    //矩阵乘等矩阵    Matrix3X3& operator*=(Matrix3X3& rhs);    void setRotate(E_Axis axis,float theta);    void setScale(Vector3 &vec);public:    float m11,m12,m13;    float m21,m22,m23;    float m31,m32,m33;};//向量乘以矩阵Vector3 operator*(Vector3& vec,Matrix3X3& mat);//向量乘等矩阵Vector3& operator*=(Vector3& vec,Matrix3X3& mat);
//Matrix3X3.cpp#include "Matrix3X3.h"#include 
Matrix3X3 Matrix3X3::operator*(Matrix3X3& rhs){ Matrix3X3 tempMat; tempMat.m11 = this->m11 * rhs.m11 + this->m12 * rhs.m21 + this->m13 * rhs.m31; tempMat.m12 = this->m11 * rhs.m12 + this->m12 * rhs.m22 + this->m13 * rhs.m32; tempMat.m13 = this->m11 * rhs.m13 + this->m12 * rhs.m23 + this->m13 * rhs.m33; tempMat.m21 = this->m21 * rhs.m11 + this->m22 * rhs.m21 + this->m23 * rhs.m31; tempMat.m22 = this->m21 * rhs.m12 + this->m22 * rhs.m22 + this->m23 * rhs.m32; tempMat.m23 = this->m21 * rhs.m13 + this->m22 * rhs.m23 + this->m23 * rhs.m33; tempMat.m31 = this->m31 * rhs.m11 + this->m32 * rhs.m21 + this->m33 * rhs.m31; tempMat.m32 = this->m31 * rhs.m12 + this->m32 * rhs.m22 + this->m33 * rhs.m32; tempMat.m33 = this->m31 * rhs.m13 + this->m32 * rhs.m23 + this->m33 * rhs.m33; return tempMat;}Matrix3X3& Matrix3X3::operator*=(Matrix3X3& rhs){ *this = *this * rhs; return *this;}Vector3 operator*(Vector3& vec,Matrix3X3& mat){ Vector3 tempVec; tempVec.x = vec.x * mat.m11 + vec.y * mat.m21 + vec.z * mat.m31; tempVec.y = vec.x * mat.m12 + vec.y * mat.m22 + vec.z * mat.m32; tempVec.z = vec.x * mat.m13 + vec.y * mat.m23 + vec.z * mat.m33; return tempVec;}Vector3& operator*=(Vector3& vec,Matrix3X3& mat){ vec = vec * mat; return vec;}void Matrix3X3::setRotate(E_Axis axis,float theta){ float sinValue,cosValue; sinValue = sin(theta); cosValue = cos(theta); switch(axis) { case Axis_x: { m11 = 1; m12 = 0; m13 = 0; m21 = 0; m22 = cosValue; m23 = sinValue; m31 = 0; m32 = -sinValue; m33 = cosValue; break; } case Axis_y: { m11 = cosValue; m12 = 0; m13 = -sinValue; m21 = 0; m22 = 1; m23 = 0; m31 = sinValue; m32 = 0; m33 = cosValue; break; } case Axis_z: { m11 = cosValue; m12 = sinValue; m13 = 0; m21 = -sinValue; m22 = cosValue; m23 = 0; m31 = 0; m32 = 0; m33 = 1; break; } default: assert(false); }}void Matrix3X3::setScale(Vector3& vec){ m11 = vec.x; m12 = 0; m13 = 0; m21 = 0; m22 = vec.y; m23 = 0; m31 = 0; m32 = 0; m33 = vec.z;}
//main.cpp#include 
#include "Vector3.h"#include "Matrix3X3.h"using namespace std;float ToZero(float num){ return (abs(num) < 0.0001 ? 0 : num);}void print_v(Vector3 v){ cout << "[ " << ToZero(v.x) << ", " << ToZero(v.y) << ", " << ToZero(v.z) << " ]" << endl; cout << endl;}void print_m(Matrix3X3 m){ cout << m.m11 << "\t" << m.m12 << "\t" << m.m13 << endl; cout << m.m21 << "\t" << m.m22 << "\t" << m.m23 << endl; cout << m.m31 << "\t" << m.m32 << "\t" << m.m33 << endl; cout << endl;}int main(){ Vector3 a(10,20,30),b,s(1,2,3); Matrix3X3 M; M.setScale(s); print_v(a); b = a * M; print_v(b); system("pause"); return 0;}

4. 代码运行结果

[ 10, 20, 30 ]

[ 10, 40, 90 ]

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