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Samplers-Impl.hpp
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1// This code is based on Jet framework.
2// Copyright (c) 2018 Doyub Kim
3// CubbyFlow is voxel-based fluid simulation engine for computer games.
4// Copyright (c) 2020 CubbyFlow Team
5// Core Part: Chris Ohk, Junwoo Hwang, Jihong Sin, Seungwoo Yoo
6// AI Part: Dongheon Cho, Minseo Kim
7// We are making my contributions/submissions to this project solely in our
8// personal capacity and are not conveying any rights to any intellectual
9// property of any third parties.
10
11// Copyright (c) 1998-2014, Matt Pharr and Greg Humphreys.
12// All rights reserved.
13
14// Redistribution and use in source and binary forms, with or without
15// modification, are permitted provided that the following conditions are met:
16
17// Redistributions of source code must retain the above copyright notice, this
18// list of conditions and the following disclaimer.
19// Redistributions in binary form must reproduce the above copyright notice,
20// this list of conditions and the following disclaimer in the documentation
21// and/or other materials provided with the distribution.
22// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
23// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
24// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
25// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
26// HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
27// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
28// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
29// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
30// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
31// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
32// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
33
34#ifndef CUBBYFLOW_SAMPLERS_IMPL_HPP
35#define CUBBYFLOW_SAMPLERS_IMPL_HPP
36
37namespace CubbyFlow
38{
39template <typename T>
41{
42 T cosAngle_2 = std::cos(angle / 2);
43 T y = 1 - (1 - cosAngle_2) * u1;
44 T r = std::sqrt(std::max<T>(0, 1 - y * y));
45 T phi = static_cast<T>(2.0 * PI<T>()) * u2;
46 T x = r * std::cos(phi);
47 T z = r * std::sin(phi);
48 auto ts = axis.Tangentials();
49
50 return std::get<0>(ts) * x + axis * y + std::get<1>(ts) * z;
51}
52
53template <typename T>
55{
56 T y = u1;
57 T r = std::sqrt(std::max<T>(0, 1 - y * y));
58 T phi = static_cast<T>(2.0 * PI<T>()) * u2;
59 T x = r * std::cos(phi);
60 T z = r * std::sin(phi);
61 auto ts = normal.Tangentials();
62
63 return std::get<0>(ts) * x + normal * y + std::get<1>(ts) * z;
64}
65
66template <typename T>
68{
69 T phi = static_cast<T>(2.0 * PI<T>()) * u1;
70 T y = std::sqrt(u2);
71 T theta = std::acos(y);
72 T x = std::cos(phi) * std::sin(theta);
73 T z = std::sin(phi) * std::sin(theta);
74 Vector3<T> t = Tangential(normal);
75 auto ts = normal.Tangentials();
76
77 return std::get<0>(ts) * x + normal * y + std::get<1>(ts) * z;
78}
79
80template <typename T>
82{
83 T y = 1 - 2 * u1;
84 T r = std::sqrt(std::max<T>(0, 1 - y * y));
85 T phi = static_cast<T>(2.0 * PI<T>()) * u2;
86 T x = r * std::cos(phi);
87 T z = r * std::sin(phi);
88
89 return Vector3<T>(x, y, z);
90}
91
92template <typename T>
94{
95 T r = std::sqrt(u1);
96 T theta = static_cast<T>(2.0 * PI<T>()) * u2;
97
98 return Vector2<T>(r * std::cos(theta), r * std::sin(theta));
99}
100} // namespace CubbyFlow
101
102#endif
std::enable_if_t<(IsMatrixSizeDynamic< Rows, Cols >()||(Rows==3 &&Cols==1)), std::tuple< Matrix< U, 3, 1 >, Matrix< U, 3, 1 > > Tangentials() const
Returns the tangential vectors for this vector.
Definition Matrix.hpp:30
Definition pybind11Utils.hpp:21
Vector3< T > UniformSampleHemisphere(T u1, T u2, const Vector3< T > &normal)
Returns randomly sampled point within a unit hemisphere.
Definition Samplers-Impl.hpp:54
Vector3< T > UniformSampleCone(T u1, T u2, const Vector3< T > &axis, T angle)
Returns randomly sampled direction within a cone.
Definition Samplers-Impl.hpp:40
Vector3< T > CosineWeightedSampleHemisphere(T u1, T u2, const Vector3< T > &normal)
Returns weighted sampled point on a hemisphere.
Definition Samplers-Impl.hpp:67
Matrix< T, Rows, 1 > Vector
Definition Matrix.hpp:738
Vector2< T > UniformSampleDisk(T u1, T u2)
Returns randomly a point on a disk.
Definition Samplers-Impl.hpp:93
Vector3< T > UniformSampleSphere(T u1, T u2)
Returns randomly a point on a sphere.
Definition Samplers-Impl.hpp:81