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Diffstat (limited to 'source/blender/freestyle/intern/geometry/Noise.cpp')
-rw-r--r-- | source/blender/freestyle/intern/geometry/Noise.cpp | 285 |
1 files changed, 285 insertions, 0 deletions
diff --git a/source/blender/freestyle/intern/geometry/Noise.cpp b/source/blender/freestyle/intern/geometry/Noise.cpp new file mode 100644 index 00000000000..0769664fcbb --- /dev/null +++ b/source/blender/freestyle/intern/geometry/Noise.cpp @@ -0,0 +1,285 @@ +/* + * ***** BEGIN GPL LICENSE BLOCK ***** + * + * This program is free software; you can redistribute it and/or + * modify it under the terms of the GNU General Public License + * as published by the Free Software Foundation; either version 2 + * of the License, or (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program; if not, write to the Free Software Foundation, + * Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. + * + * The Original Code is Copyright (C) 2010 Blender Foundation. + * All rights reserved. + * + * The Original Code is: all of this file. + * + * Contributor(s): none yet. + * + * ***** END GPL LICENSE BLOCK ***** + */ + +/** \file blender/freestyle/intern/geometry/Noise.cpp + * \ingroup freestyle + * \brief Class to define Perlin noise + * \author Emmanuel Turquin + * \date 12/01/2004 + */ + +#include <math.h> +#include <stdio.h> +#include <stdlib.h> +#include <time.h> + +#include "Noise.h" + +#define MINX -1000000 +#define MINY MINX +#define MINZ MINX + +#define SCURVE(a) ((a) * (a) * (3.0 - 2.0 * (a))) + +#define REALSCALE (2.0 / 65536.0) +#define NREALSCALE (2.0 / 4096.0) + +#define HASH3D(a, b, c) hashTable[hashTable[hashTable[(a) & 0xfff] ^ ((b) & 0xfff)] ^ ((c) & 0xfff)] +#define HASH(a, b, c) (xtab[(xtab[(xtab[(a) & 0xff] ^ (b)) & 0xff] ^ (c)) & 0xff] & 0xff) + +#define INCRSUM(m, s, x, y, z) \ + ((s) * (RTable[m] * 0.5 + RTable[m + 1] * (x) + RTable[m + 2] * (y) + RTable[m + 3] * (z))) + +#define MAXSIZE 500 + +#if 0 // XXX Unused +#define NRAND() ((float)rand() / (float)RAND_MAX) +#endif +#define SEEDNRAND(x) (srand(x * RAND_MAX)) + +#define BM 0xff +#define N 0x1000 +#define NP 12 /* 2^N */ +#define NM 0xfff + +#define LERP(t, a, b) ((a) + (t) * ((b) - (a))) + +#define SETUP(i, b0, b1, r0, r1) \ + { \ + (t) = (i) + (N); \ + (b0) = ((int)(t)) & BM; \ + (b1) = ((b0) + 1) & BM; \ + (r0) = (t) - (int)(t); \ + (r1) = (r0) - 1.0; \ + } (void)0 + +static void normalize2(float v[2]) +{ + float s; + + s = 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; + + s = 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; +} + +float Noise::turbulence1(float arg, float freq, float amp, unsigned oct) +{ + float t; + float vec; + + for (t = 0; oct > 0 && freq > 0; freq *= 2, amp /= 2, --oct) { + vec = freq * arg; + t += smoothNoise1(vec) * amp; + } + return t; +} + +float Noise::turbulence2(Vec2f& v, float freq, float amp, unsigned oct) +{ + float t; + Vec2f vec; + + for (t = 0; oct > 0 && freq > 0; freq *= 2, amp /= 2, --oct) { + vec.x() = freq * v.x(); + vec.y() = freq * v.y(); + t += smoothNoise2(vec) * amp; + } + return t; +} + +float Noise::turbulence3(Vec3f& v, float freq, float amp, unsigned oct) +{ + float t; + Vec3f vec; + + for (t = 0; oct > 0 && freq > 0; freq *= 2, amp /= 2, --oct) { + vec.x() = freq * v.x(); + vec.y() = freq * v.y(); + vec.z() = freq * v.z(); + t += smoothNoise3(vec) * amp; + } + return t; +} + +// Noise functions over 1, 2, and 3 dimensions +float Noise::smoothNoise1(float arg) +{ + int bx0, bx1; + float rx0, rx1, sx, t, u, v, vec; + + vec = arg; + SETUP(vec, bx0, bx1, rx0, rx1); + + sx = SCURVE(rx0); + + u = rx0 * g1[p[bx0]]; + v = rx1 * g1[p[bx1]]; + + return LERP(sx, u, v); +} + +float Noise::smoothNoise2(Vec2f& vec) +{ + int bx0, bx1, by0, by1, b00, b10, b01, b11; + float rx0, rx1, ry0, ry1, *q, sx, sy, a, b, t, u, v; + register int i, j; + + SETUP(vec.x(), bx0, bx1, rx0, rx1); + SETUP(vec.y(), 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 = SCURVE(rx0); + sy = SCURVE(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 = LERP(sx, u, v); + + q = g2[b01]; + u = AT2(rx0, ry1); + q = g2[b11]; + v = AT2(rx1, ry1); + b = LERP(sx, u, v); + +#undef AT2 + + return LERP(sy, a, b); +} + +float Noise::smoothNoise3(Vec3f& vec) +{ + 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; + register int i, j; + + SETUP(vec.x(), bx0, bx1, rx0, rx1); + SETUP(vec.y(), by0, by1, ry0, ry1); + SETUP(vec.z(), 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 = SCURVE(rx0); + sy = SCURVE(ry0); + sz = SCURVE(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 = LERP(t, u, v); + + q = g3[b01 + bz0]; + u = AT3(rx0, ry1, rz0); + q = g3[b11 + bz0]; + v = AT3(rx1, ry1, rz0); + b = LERP(t, u, v); + + c = LERP(sy, a, b); + + q = g3[b00 + bz1]; + u = AT3(rx0, ry0, rz1); + q = g3[b10 + bz1]; + v = AT3(rx1, ry0, rz1); + a = LERP(t, u, v); + + q = g3[b01 + bz1]; + u = AT3(rx0, ry1, rz1); + q = g3[b11 + bz1]; + v = AT3(rx1, ry1, rz1); + b = LERP(t, u, v); + + d = LERP(sy, a, b); + +#undef AT3 + + return LERP(sz, c, d); +} + +Noise::Noise(long seed) +{ + int i, j, k; + + SEEDNRAND((seed < 0) ? time(NULL) : seed); + for (i = 0 ; i < _NOISE_B ; i++) { + p[i] = i; + g1[i] = (float)((rand() % (_NOISE_B + _NOISE_B)) - _NOISE_B) / _NOISE_B; + + for (j = 0 ; j < 2 ; j++) + g2[i][j] = (float)((rand() % (_NOISE_B + _NOISE_B)) - _NOISE_B) / _NOISE_B; + normalize2(g2[i]); + + for (j = 0 ; j < 3 ; j++) + g3[i][j] = (float)((rand() % (_NOISE_B + _NOISE_B)) - _NOISE_B) / _NOISE_B; + normalize3(g3[i]); + } + + while (--i) { + k = p[i]; + p[i] = p[j = rand() % _NOISE_B]; + p[j] = k; + } + + for (i = 0 ; i < _NOISE_B + 2 ; i++) { + p[_NOISE_B + i] = p[i]; + g1[_NOISE_B + i] = g1[i]; + + for (j = 0 ; j < 2 ; j++) + g2[_NOISE_B + i][j] = g2[i][j]; + + for (j = 0 ; j < 3 ; j++) + g3[_NOISE_B + i][j] = g3[i][j]; + } +} |