OpenSubdiv/examples/simpleCpu/algebra.h

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#pragma once
#include <limits>
#include <cmath>
#include <vector>
#include <stdlib.h>
#include <stdio.h>
#include <iostream>
#include <iomanip>
//
// A few basic linear algebra operations
//
//
// Make the given matrix an identity matrix
//
inline void setIdentity(float* m)
{
m[0] = m[5] = m[10] = m[15] = 1.0f;
m[1] = m[2] = m[3] = m[4] = m[6] = m[7] = m[8] = m[9] = m[11] = m[12] = m[13] = m[14] = 0.0f;
}
//
// Multiply A * B and store the result in D
//
inline void
multMatrix(float *d, const float *a, const float *b)
{
for (int i=0; i<4; ++i)
{
for (int j=0; j<4; ++j)
{
d[i*4 + j] =
a[i*4 + 0] * b[0*4 + j] +
a[i*4 + 1] * b[1*4 + j] +
a[i*4 + 2] * b[2*4 + j] +
a[i*4 + 3] * b[3*4 + j];
}
}
}
//
// Create a perspective projection matrix
//
void setPersp( float fov, float aspect, float znear, float zfar, float* m )
{
float xymax = znear * tanf(fov * 3.141592653589793238462f / 360.f);
float ymin = -xymax;
float xmin = -xymax;
float width = xymax - xmin;
float height = xymax - ymin;
float depth = zfar - znear;
float q = -(zfar + znear) / depth;
float qn = -2 * (zfar * znear) / depth;
float w = 2 * znear / width;
w = w / aspect;
float h = 2 * znear / height;
m[0] = w;
m[1] = 0.f;
m[2] = 0.f;
m[3] = 0.f;
m[4] = 0.f;
m[5] = h;
m[6] = 0.f;
m[7] = 0.f;
m[8] = 0.f;
m[9] = 0.f;
m[10] = q;
m[11] = -1;
m[12] = 0.f;
m[13] = 0.f;
m[14] = qn;
m[15] = 0.f;
}
//
// Apply a translation to the given matrix m
//
void
translateMatrix(float x, float y, float z, float* m)
{
m[0] += m[3]*x; m[4] += m[7]*x; m[8] += m[11]*x; m[12] += m[15]*x;
m[1] += m[3]*y; m[5] += m[7]*y; m[9] += m[11]*y; m[13] += m[15]*y;
m[2] += m[3]*z; m[6] += m[7]*z; m[10]+= m[11]*z; m[14] += m[15]*z;
}
//
// Apply a rotation to the given matrix m
//
void
rotateMatrix(float angle, float x, float y, float z, float* m)
{
float rads = float((2*3.14159 / 360.) * angle);
float c = cosf(rads);
float s = sinf(rads);
float xx = x * x;
float xy = x * y;
float xz = x * z;
float yy = y * y;
float yz = y * z;
float zz = z * z;
float m2[16];
m2[0] = xx * (1 - c) + c;
m2[4] = xy * (1 - c) - z * s;
m2[8] = xz * (1 - c) + y * s;
m2[12] = 0;
m2[1] = xy * (1 - c) + z * s;
m2[5] = yy * (1 - c) + c;
m2[9] = yz * (1 - c) - x * s;
m2[13] = 0;
m2[2] = xz * (1 - c) - y * s;
m2[6] = yz * (1 - c) + x * s;
m2[10]= zz * (1 - c) + c;
m2[14]= 0;
m2[3]= 0;
m2[7]= 0;
m2[11]= 0;
m2[15]= 1;
float mOrig[16];
for (int i = 0; i < 16; i++)
mOrig[i] = m[i];
multMatrix(m, mOrig, m2);
}
//
// Print out the matrix (as usual, column-major order is assumed)
//
inline void printMatrix(float* m)
{
for (int r = 0; r < 4; r++) {
std::cout << " ";
for (int c = 0; c < 4; c++) {
std::cout << std::setprecision(3) << m[c*4 + r];
if (c != 3)
std::cout << ",";
else
std::cout << std::endl;
}
}
}
//
// Perform a cross-product of three points to calculate a face normal
//
inline void
cross(float *n, const float *p0, const float *p1, const float *p2)
{
float a[3] = { p1[0]-p0[0], p1[1]-p0[1], p1[2]-p0[2] };
float b[3] = { p2[0]-p0[0], p2[1]-p0[1], p2[2]-p0[2] };
n[0] = a[1]*b[2]-a[2]*b[1];
n[1] = a[2]*b[0]-a[0]*b[2];
n[2] = a[0]*b[1]-a[1]*b[0];
float rn = 1.0f/sqrtf(n[0]*n[0] + n[1]*n[1] + n[2]*n[2]);
n[0] *= rn;
n[1] *= rn;
n[2] *= rn;
}
//
// Normalize the given vector
//
inline void
normalize(float * p)
{
float dist = sqrtf( p[0]*p[0] + p[1]*p[1] + p[2]*p[2] );
p[0]/=dist;
p[1]/=dist;
p[2]/=dist;
}
//
// Compute the center of the list of points and the size of the bound
//
inline void
computeCenterAndSize(const std::vector<float>& positions, float* center, float* size)
{
float fmax = std::numeric_limits<float>().max(),
fmin = std::numeric_limits<float>().min();
float min[3] = { fmax, fmax, fmax};
float max[3] = { fmin, fmin, fmin};
for (size_t i=0; i < positions.size()/3; ++i) {
for(int j=0; j<3; ++j) {
float v = positions[i*3+j];
min[j] = std::min(min[j], v);
max[j] = std::max(max[j], v);
}
}
for (int j=0; j<3; ++j) {
center[j] = (min[j] + max[j]) * 0.5f;
*size += (max[j]-min[j])*(max[j]-min[j]);
}
*size = sqrtf(*size);
}