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https://github.com/ceres-solver/ceres-solver.git
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ee35ef66f6
Change-Id: Ideafec543a9d090a767bae58123b7512c9e9ae4a
222 lines
7.7 KiB
C++
222 lines
7.7 KiB
C++
// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2020 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: darius.rueckert@fau.de (Darius Rueckert)
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//
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//
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#ifndef CERES_INTERNAL_AUTODIFF_BENCHMARK_BRDF_COST_FUNCTION_H_
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#define CERES_INTERNAL_AUTODIFF_BENCHMARK_BRDF_COST_FUNCTION_H_
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#include <Eigen/Core>
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#include <cmath>
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namespace ceres {
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// The brdf is based on:
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// Burley, Brent, and Walt Disney Animation Studios. "Physically-based shading
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// at disney." ACM SIGGRAPH. Vol. 2012. 2012.
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//
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// The implementation is based on:
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// https://github.com/wdas/brdf/blob/master/src/brdfs/disney.brdf
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struct Brdf {
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public:
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template <typename T>
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inline bool operator()(const T* const material,
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const T* const c_ptr,
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const T* const n_ptr,
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const T* const v_ptr,
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const T* const l_ptr,
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const T* const x_ptr,
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const T* const y_ptr,
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T* residual) const {
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using Vec3 = Eigen::Matrix<T, 3, 1>;
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T metallic = material[0];
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T subsurface = material[1];
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T specular = material[2];
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T roughness = material[3];
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T specular_tint = material[4];
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T anisotropic = material[5];
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T sheen = material[6];
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T sheen_tint = material[7];
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T clearcoat = material[8];
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T clearcoat_gloss = material[9];
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Eigen::Map<const Vec3> c(c_ptr);
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Eigen::Map<const Vec3> n(n_ptr);
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Eigen::Map<const Vec3> v(v_ptr);
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Eigen::Map<const Vec3> l(l_ptr);
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Eigen::Map<const Vec3> x(x_ptr);
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Eigen::Map<const Vec3> y(y_ptr);
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const T n_dot_l = n.dot(l);
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const T n_dot_v = n.dot(v);
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const Vec3 l_p_v = l + v;
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const Vec3 h = l_p_v / l_p_v.norm();
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const T n_dot_h = n.dot(h);
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const T l_dot_h = l.dot(h);
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const T h_dot_x = h.dot(x);
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const T h_dot_y = h.dot(y);
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const T c_dlum = T(0.3) * c[0] + T(0.6) * c[1] + T(0.1) * c[2];
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const Vec3 c_tint = c / c_dlum;
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const Vec3 c_spec0 =
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Lerp(specular * T(0.08) *
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Lerp(Vec3(T(1), T(1), T(1)), c_tint, specular_tint),
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c,
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metallic);
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const Vec3 c_sheen = Lerp(Vec3(T(1), T(1), T(1)), c_tint, sheen_tint);
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// Diffuse fresnel - go from 1 at normal incidence to .5 at grazing
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// and mix in diffuse retro-reflection based on roughness
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const T fl = SchlickFresnel(n_dot_l);
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const T fv = SchlickFresnel(n_dot_v);
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const T fd_90 = T(0.5) + T(2) * l_dot_h * l_dot_h * roughness;
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const T fd = Lerp(T(1), fd_90, fl) * Lerp(T(1), fd_90, fv);
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// Based on Hanrahan-Krueger brdf approximation of isotropic bssrdf
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// 1.25 scale is used to (roughly) preserve albedo
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// Fss90 used to "flatten" retroreflection based on roughness
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const T fss_90 = l_dot_h * l_dot_h * roughness;
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const T fss = Lerp(T(1), fss_90, fl) * Lerp(T(1), fss_90, fv);
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const T ss =
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T(1.25) * (fss * (T(1) / (n_dot_l + n_dot_v) - T(0.5)) + T(0.5));
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// specular
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const T eps = T(0.001);
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const T aspct = Aspect(anisotropic);
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const T ax_temp = Square(roughness) / aspct;
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const T ay_temp = Square(roughness) * aspct;
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const T ax = (ax_temp < eps ? eps : ax_temp);
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const T ay = (ay_temp < eps ? eps : ay_temp);
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const T ds = GTR2Aniso(n_dot_h, h_dot_x, h_dot_y, ax, ay);
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const T fh = SchlickFresnel(l_dot_h);
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const Vec3 fs = Lerp(c_spec0, Vec3(T(1), T(1), T(1)), fh);
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const T roughg = Square(roughness * T(0.5) + T(0.5));
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const T ggxn_dot_l = SmithG_GGX(n_dot_l, roughg);
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const T ggxn_dot_v = SmithG_GGX(n_dot_v, roughg);
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const T gs = ggxn_dot_l * ggxn_dot_v;
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// sheen
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const Vec3 f_sheen = fh * sheen * c_sheen;
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// clearcoat (ior = 1.5 -> F0 = 0.04)
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const T a = Lerp(T(0.1), T(0.001), clearcoat_gloss);
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const T dr = GTR1(n_dot_h, a);
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const T fr = Lerp(T(0.04), T(1), fh);
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const T cggxn_dot_l = SmithG_GGX(n_dot_l, T(0.25));
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const T cggxn_dot_v = SmithG_GGX(n_dot_v, T(0.25));
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const T gr = cggxn_dot_l * cggxn_dot_v;
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const Vec3 result_no_cosine =
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(T(1.0 / M_PI) * Lerp(fd, ss, subsurface) * c + f_sheen) *
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(T(1) - metallic) +
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gs * fs * ds +
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Vec3(T(0.25), T(0.25), T(0.25)) * clearcoat * gr * fr * dr;
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const Vec3 result = n_dot_l * result_no_cosine;
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residual[0] = result(0);
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residual[1] = result(1);
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residual[2] = result(2);
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return true;
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}
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template <typename T>
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inline T SchlickFresnel(const T& u) const {
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T m = T(1) - u;
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const T m2 = m * m;
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return m2 * m2 * m; // (1-u)^5
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}
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template <typename T>
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inline T Aspect(const T& anisotropic) const {
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return T(sqrt(T(1) - anisotropic * T(0.9)));
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}
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template <typename T>
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inline T SmithG_GGX(const T& n_dot_v, const T& alpha_g) const {
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const T a = alpha_g * alpha_g;
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const T b = n_dot_v * n_dot_v;
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return T(1) / (n_dot_v + T(sqrt(a + b - a * b)));
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}
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// Generalized-Trowbridge-Reitz (GTR) Microfacet Distribution
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// See paper, Appendix B
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template <typename T>
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inline T GTR1(const T& n_dot_h, const T& a) const {
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T result = T(0);
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if (a >= T(1)) {
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result = T(1 / M_PI);
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} else {
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const T a2 = a * a;
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const T t = T(1) + (a2 - T(1)) * n_dot_h * n_dot_h;
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result = (a2 - T(1)) / (T(M_PI) * T(log(a2) * t));
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}
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return result;
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}
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template <typename T>
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inline T GTR2Aniso(const T& n_dot_h,
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const T& h_dot_x,
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const T& h_dot_y,
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const T& ax,
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const T& ay) const {
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return T(1) / (T(M_PI) * ax * ay *
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Square(Square(h_dot_x / ax) + Square(h_dot_y / ay) +
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n_dot_h * n_dot_h));
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}
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template <typename T>
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inline T Lerp(const T& a, const T& b, const T& u) const {
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return a + u * (b - a);
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}
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template <typename Derived1, typename Derived2>
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inline typename Derived1::PlainObject Lerp(
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const Eigen::MatrixBase<Derived1>& a,
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const Eigen::MatrixBase<Derived2>& b,
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typename Derived1::Scalar alpha) const {
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return (typename Derived1::Scalar(1) - alpha) * a + alpha * b;
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}
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template <typename T>
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inline T Square(const T& x) const {
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return x * x;
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}
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};
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} // namespace ceres
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#endif // CERES_INTERNAL_AUTODIFF_BENCHMARK_BRDF_COST_FUNCTION_H_
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