perlin.cpp
上传用户:center1979
上传日期:2022-07-26
资源大小:50633k
文件大小:6k
- #include <stdlib.h>
- #include <stdio.h>
- #include <math.h>
- #include "mathlib.h"
- #include "vecmath.h"
- #include "perlin.h"
- float bias(float a, float b)
- {
- return (float) pow((double) a, log((double) b) / log(0.5));
- }
- float gain(float a, float b)
- {
- float p = (float) (log(1.0 - b) / log(0.5));
- if (a < 0.001f)
- return 0.0f;
- else if (a > 0.999f)
- return 1.0f;
- if (a < 0.5f)
- return (float) pow(2 * a, p) / 2;
- else
- return 1.0f - (float) pow(2.0 * (1.0 - a), (double) p) / 2;
- }
- float noise(float vec[], int len)
- {
- switch (len) {
- case 0:
- return 0.;
- case 1:
- return noise1(vec[0]);
- case 2:
- return noise2(vec);
- default:
- return noise3(vec);
- }
- }
- float turbulence(float v[], float freq)
- {
- float t, vec[3];
- for (t = 0. ; freq >= 1. ; freq /= 2) {
- vec[0] = freq * v[0];
- vec[1] = freq * v[1];
- vec[2] = freq * v[2];
- t += (float) fabs(noise3(vec)) / freq;
- }
- return t;
- }
- float turbulence(const Point2f& p, float freq)
- {
- float t;
- float vec[2];
- for (t = 0.0f; freq >= 1.0f; freq *= 0.5f)
- {
- vec[0] = freq * p.x;
- vec[1] = freq * p.y;
- t += (float) fabs(noise2(vec)) / freq;
- }
- return t;
- }
- float turbulence(const Point3f& p, float freq)
- {
- float t;
- float vec[3];
- for (t = 0.0f; freq >= 1.0f; freq *= 0.5f)
- {
- vec[0] = freq * p.x;
- vec[1] = freq * p.y;
- vec[2] = freq * p.z;
- t += (float) fabs(noise3(vec)) / freq;
- }
- return t;
- }
- float fractalsum(float v[], float freq)
- {
- float t;
- float vec[3];
- for (t = 0.0f ; freq >= 1.0f ; freq /= 2.0f) {
- vec[0] = freq * v[0];
- vec[1] = freq * v[1];
- vec[2] = freq * v[2];
- t += noise3(vec) / freq;
- }
- return t;
- }
- float fractalsum(const Point2f& p, float freq)
- {
- float t;
- float vec[2];
- for (t = 0.0f; freq >= 1.0f; freq *= 0.5f)
- {
- vec[0] = freq * p.x;
- vec[1] = freq * p.y;
- t += noise2(vec) / freq;
- }
- return t;
- }
- float fractalsum(const Point3f& p, float freq)
- {
- float t;
- float vec[3];
- for (t = 0.0f; freq >= 1.0f; freq *= 0.5f)
- {
- vec[0] = freq * p.x;
- vec[1] = freq * p.y;
- vec[2] = freq * p.z;
- t += noise3(vec) / freq;
- }
- return t;
- }
- /* noise functions over 1, 2, and 3 dimensions */
- #define B 0x100
- #define BM 0xff
- #define N 0x1000
- #define NP 12 /* 2^N */
- #define NM 0xfff
- static int p[B + B + 2];
- static float g3[B + B + 2][3];
- static float g2[B + B + 2][2];
- static float g1[B + B + 2];
- static bool initialized = false;
- static void init(void);
- #define s_curve(t) ( t * t * (3.0f - 2.0f * t) )
- #define setup(i, b0, b1, r0, r1)
- t = vec[i] + N;
- b0 = ((int)t) & BM;
- b1 = (b0+1) & BM;
- r0 = t - (int)t;
- r1 = r0 - 1.0f;
- float noise1(float arg)
- {
- if (!initialized)
- init();
- int bx0, bx1;
- float rx0, rx1, t, u, v, vec[1];
- vec[0] = arg;
- setup(0, bx0, bx1, rx0, rx1);
- u = rx0 * g1[p[bx0]];
- v = rx1 * g1[p[bx1]];
- return Mathf::lerp(s_curve(rx0), u, v);
- }
- float noise2(float vec[2])
- {
- int bx0, bx1, by0, by1, b00, b10, b01, b11;
- float rx0, rx1, ry0, ry1, *q, sx, sy, a, b, t, u, v;
- int i, j;
- if (!initialized)
- init();
- setup(0, bx0,bx1, rx0,rx1);
- setup(1, by0,by1, ry0,ry1);
- i = p[ bx0 ];
- j = p[ bx1 ];
- b00 = p[ i + by0 ];
- b10 = p[ j + by0 ];
- b01 = p[ i + by1 ];
- b11 = p[ j + by1 ];
- sx = s_curve(rx0);
- sy = s_curve(ry0);
- #define at2(rx,ry) ( rx * q[0] + ry * q[1] )
- q = g2[ b00 ] ; u = at2(rx0,ry0);
- q = g2[ b10 ] ; v = at2(rx1,ry0);
- a = Mathf::lerp(sx, u, v);
- q = g2[ b01 ] ; u = at2(rx0,ry1);
- q = g2[ b11 ] ; v = at2(rx1,ry1);
- b = Mathf::lerp(sx, u, v);
- return Mathf::lerp(sy, a, b);
- }
- float noise3(float vec[3])
- {
- if (!initialized)
- init();
- int bx0, bx1, by0, by1, bz0, bz1, b00, b10, b01, b11;
- float rx0, rx1, ry0, ry1, rz0, rz1, *q, sy, sz, a, b, c, d, t, u, v;
- int i, j;
- setup(0, bx0,bx1, rx0,rx1);
- setup(1, by0,by1, ry0,ry1);
- setup(2, bz0,bz1, rz0,rz1);
- i = p[ bx0 ];
- j = p[ bx1 ];
- b00 = p[ i + by0 ];
- b10 = p[ j + by0 ];
- b01 = p[ i + by1 ];
- b11 = p[ j + by1 ];
- t = s_curve(rx0);
- sy = s_curve(ry0);
- sz = s_curve(rz0);
- #define at3(rx,ry,rz) ( rx * q[0] + ry * q[1] + rz * q[2] )
- q = g3[ b00 + bz0 ] ; u = at3(rx0,ry0,rz0);
- q = g3[ b10 + bz0 ] ; v = at3(rx1,ry0,rz0);
- a = Mathf::lerp(t, u, v);
- q = g3[ b01 + bz0 ] ; u = at3(rx0,ry1,rz0);
- q = g3[ b11 + bz0 ] ; v = at3(rx1,ry1,rz0);
- b = Mathf::lerp(t, u, v);
- c = Mathf::lerp(sy, a, b);
- q = g3[ b00 + bz1 ] ; u = at3(rx0,ry0,rz1);
- q = g3[ b10 + bz1 ] ; v = at3(rx1,ry0,rz1);
- a = Mathf::lerp(t, u, v);
- q = g3[ b01 + bz1 ] ; u = at3(rx0,ry1,rz1);
- q = g3[ b11 + bz1 ] ; v = at3(rx1,ry1,rz1);
- b = Mathf::lerp(t, u, v);
- d = Mathf::lerp(sy, a, b);
- return Mathf::lerp(sz, c, d);
- }
- static void normalize2(float v[2])
- {
- float s = (float) sqrt(v[0] * v[0] + v[1] * v[1]);
- v[0] = v[0] / s;
- v[1] = v[1] / s;
- }
- static void normalize3(float v[3])
- {
- float s = (float) sqrt(v[0] * v[0] + v[1] * v[1] + v[2] * v[2]);
- v[0] = v[0] / s;
- v[1] = v[1] / s;
- v[2] = v[2] / s;
- }
- static void init()
- {
- int i, j, k;
- for (i = 0; i < B; i++)
- {
- g1[i] = Mathf::sfrand();
- g2[i][0] = Mathf::sfrand();
- g2[i][1] = Mathf::sfrand();
- normalize2(g2[i]);
- g3[i][0] = Mathf::sfrand();
- g3[i][1] = Mathf::sfrand();
- g3[i][2] = Mathf::sfrand();
- normalize3(g3[i]);
- }
- // Fill the permutation array with values . . .
- for (i = 0; i < B; i++)
- p[i] = i;
- // . . . and then shuffle it
- for (i = 0; i < B; i++)
- {
- k = p[i];
- j = rand() % B;
- p[i] = p[j];
- p[j] = k;
- }
- // Duplicate values to accelerate table lookups
- for (i = 0; i < B + 2; i++)
- {
- p[B + i] = p[i];
- g1[B + i] = g1[i];
- g2[B + i][0] = g2[i][0];
- g2[B + i][1] = g2[i][1];
- g3[B + i][0] = g3[i][0];
- g3[B + i][1] = g3[i][1];
- g3[B + i][2] = g3[i][2];
- }
- initialized = true;
- }