perlinscalar.java
来自「Sunflow是一个照片级的渲染系统」· Java 代码 · 共 330 行 · 第 1/2 页
JAVA
330 行
package org.sunflow.math;
/**
* Noise function from Ken Perlin. Additional routines are provided to emulate
* standard Renderman calls. This code was adapted mainly from the mrclasses
* package by Gonzalo Garramuno (http://sourceforge.net/projects/mrclasses/).
*
* @link http://mrl.nyu.edu/~perlin/noise/
*/
public final class PerlinScalar {
private static final float[] G1 = { -1, 1 };
private static final float[][] G2 = { { 1, 0 }, { -1, 0 }, { 0, 1 },
{ 0, -1 } };
private static final float[][] G3 = { { 1, 1, 0 }, { -1, 1, 0 },
{ 1, -1, 0 }, { -1, -1, 0 }, { 1, 0, 1 }, { -1, 0, 1 },
{ 1, 0, -1 }, { -1, 0, -1 }, { 0, 1, 1 }, { 0, -1, 1 },
{ 0, 1, -1 }, { 0, -1, -1 }, { 1, 1, 0 }, { -1, 1, 0 },
{ 0, -1, 1 }, { 0, -1, -1 } };
private static final float[][] G4 = { { -1, -1, -1, 0 }, { -1, -1, 1, 0 },
{ -1, 1, -1, 0 }, { -1, 1, 1, 0 }, { 1, -1, -1, 0 },
{ 1, -1, 1, 0 }, { 1, 1, -1, 0 }, { 1, 1, 1, 0 },
{ -1, -1, 0, -1 }, { -1, 1, 0, -1 }, { 1, -1, 0, -1 },
{ 1, 1, 0, -1 }, { -1, -1, 0, 1 }, { -1, 1, 0, 1 },
{ 1, -1, 0, 1 }, { 1, 1, 0, 1 }, { -1, 0, -1, -1 },
{ 1, 0, -1, -1 }, { -1, 0, -1, 1 }, { 1, 0, -1, 1 },
{ -1, 0, 1, -1 }, { 1, 0, 1, -1 }, { -1, 0, 1, 1 }, { 1, 0, 1, 1 },
{ 0, -1, -1, -1 }, { 0, -1, -1, 1 }, { 0, -1, 1, -1 },
{ 0, -1, 1, 1 }, { 0, 1, -1, -1 }, { 0, 1, -1, 1 },
{ 0, 1, 1, -1 }, { 0, 1, 1, 1 } };
private static final int[] p = { 151, 160, 137, 91, 90, 15, 131, 13, 201,
95, 96, 53, 194, 233, 7, 225, 140, 36, 103, 30, 69, 142, 8, 99, 37,
240, 21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62,
94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33, 88, 237, 149, 56,
87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71, 134, 139,
48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133,
230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25,
63, 161, 1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200,
196, 135, 130, 116, 188, 159, 86, 164, 100, 109, 198, 173, 186, 3,
64, 52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118, 126, 255,
82, 85, 212, 207, 206, 59, 227, 47, 16, 58, 17, 182, 189, 28, 42,
223, 183, 170, 213, 119, 248, 152, 2, 44, 154, 163, 70, 221, 153,
101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98, 108, 110, 79,
113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251, 34, 242,
193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249,
14, 239, 107, 49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204,
176, 115, 121, 50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222,
114, 67, 29, 24, 72, 243, 141, 128, 195, 78, 66, 215, 61, 156, 180,
151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7,
225, 140, 36, 103, 30, 69, 142, 8, 99, 37, 240, 21, 10, 23, 190, 6,
148, 247, 120, 234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35,
11, 32, 57, 177, 33, 88, 237, 149, 56, 87, 174, 20, 125, 136, 171,
168, 68, 175, 74, 165, 71, 134, 139, 48, 27, 166, 77, 146, 158,
231, 83, 111, 229, 122, 60, 211, 133, 230, 220, 105, 92, 41, 55,
46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161, 1, 216, 80, 73,
209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130, 116, 188,
159, 86, 164, 100, 109, 198, 173, 186, 3, 64, 52, 217, 226, 250,
124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206,
59, 227, 47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119,
248, 152, 2, 44, 154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9,
129, 22, 39, 253, 19, 98, 108, 110, 79, 113, 224, 232, 178, 185,
112, 104, 218, 246, 97, 228, 251, 34, 242, 193, 238, 210, 144, 12,
191, 179, 162, 241, 81, 51, 145, 235, 249, 14, 239, 107, 49, 192,
214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121, 50, 45,
127, 4, 150, 254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72, 243,
141, 128, 195, 78, 66, 215, 61, 156, 180 };
public static final float snoise(float x) {
int xf = (int) Math.floor(x);
int X = xf & 255;
x -= xf;
float u = fade(x);
int A = p[X], B = p[X + 1];
return lerp(u, grad(p[A], x), grad(p[B], x - 1));
}
public static final float snoise(float x, float y) {
int xf = (int) Math.floor(x);
int yf = (int) Math.floor(y);
int X = xf & 255;
int Y = yf & 255;
x -= xf;
y -= yf;
float u = fade(x);
float v = fade(y);
int A = p[X] + Y, B = p[X + 1] + Y;
return lerp(v, lerp(u, grad(p[A], x, y), grad(p[B], x - 1, y)), lerp(u, grad(p[A + 1], x, y - 1), grad(p[B + 1], x - 1, y - 1)));
}
public static final float snoise(float x, float y, float z) {
int xf = (int) Math.floor(x);
int yf = (int) Math.floor(y);
int zf = (int) Math.floor(z);
int X = xf & 255;
int Y = yf & 255;
int Z = zf & 255;
x -= xf;
y -= yf;
z -= zf;
float u = fade(x);
float v = fade(y);
float w = fade(z);
int A = p[X] + Y, AA = p[A] + Z, AB = p[A + 1] + Z, B = p[X + 1] + Y, BA = p[B] + Z, BB = p[B + 1] + Z;
return lerp(w, lerp(v, lerp(u, grad(p[AA], x, y, z), grad(p[BA], x - 1, y, z)), lerp(u, grad(p[AB], x, y - 1, z), grad(p[BB], x - 1, y - 1, z))), lerp(v, lerp(u, grad(p[AA + 1], x, y, z - 1), grad(p[BA + 1], x - 1, y, z - 1)), lerp(u, grad(p[AB + 1], x, y - 1, z - 1), grad(p[BB + 1], x - 1, y - 1, z - 1))));
}
public static final float snoise(float x, float y, float z, float w) {
int xf = (int) Math.floor(x);
int yf = (int) Math.floor(y);
int zf = (int) Math.floor(z);
int wf = (int) Math.floor(w);
int X = xf & 255;
int Y = yf & 255;
int Z = zf & 255;
int W = wf & 255;
x -= xf;
y -= yf;
z -= zf;
w -= wf;
float u = fade(x);
float v = fade(y);
float t = fade(z);
float s = fade(w);
int A = p[X] + Y, AA = p[A] + Z, AB = p[A + 1] + Z, B = p[X + 1] + Y, BA = p[B] + Z, BB = p[B + 1] + Z, AAA = p[AA] + W, AAB = p[AA + 1] + W, ABA = p[AB] + W, ABB = p[AB + 1] + W, BAA = p[BA] + W, BAB = p[BA + 1] + W, BBA = p[BB] + W, BBB = p[BB + 1] + W;
return lerp(s, lerp(t, lerp(v, lerp(u, grad(p[AAA], x, y, z, w), grad(p[BAA], x - 1, y, z, w)), lerp(u, grad(p[ABA], x, y - 1, z, w), grad(p[BBA], x - 1, y - 1, z, w))), lerp(v, lerp(u, grad(p[AAB], x, y, z - 1, w), grad(p[BAB], x - 1, y, z - 1, w)), lerp(u, grad(p[ABB], x, y - 1, z - 1, w), grad(p[BBB], x - 1, y - 1, z - 1, w)))), lerp(t, lerp(v, lerp(u, grad(p[AAA + 1], x, y, z, w - 1), grad(p[BAA + 1], x - 1, y, z, w - 1)), lerp(u, grad(p[ABA + 1], x, y - 1, z, w - 1), grad(p[BBA + 1], x - 1, y - 1, z, w - 1))), lerp(v, lerp(u, grad(p[AAB + 1], x, y, z - 1, w - 1), grad(p[BAB + 1], x - 1, y, z - 1, w - 1)), lerp(u, grad(p[ABB + 1], x, y - 1, z - 1, w - 1), grad(p[BBB + 1], x - 1, y - 1, z - 1, w - 1)))));
}
public static final float snoise(Point2 p) {
return snoise(p.x, p.y);
}
public static final float snoise(Point3 p) {
return snoise(p.x, p.y, p.z);
}
public static final float snoise(Point3 p, float t) {
return snoise(p.x, p.y, p.z, t);
}
public static final float noise(float x) {
return 0.5f + 0.5f * snoise(x);
}
public static final float noise(float x, float y) {
return 0.5f + 0.5f * snoise(x, y);
}
public static final float noise(float x, float y, float z) {
return 0.5f + 0.5f * snoise(x, y, z);
}
public static final float noise(float x, float y, float z, float t) {
return 0.5f + 0.5f * snoise(x, y, z, t);
}
public static final float noise(Point2 p) {
return 0.5f + 0.5f * snoise(p.x, p.y);
}
public static final float noise(Point3 p) {
return 0.5f + 0.5f * snoise(p.x, p.y, p.z);
}
public static final float noise(Point3 p, float t) {
return 0.5f + 0.5f * snoise(p.x, p.y, p.z, t);
}
⌨️ 快捷键说明
复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?