nd.h
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00001 /*
00002  * Copyright (c) 2016-2017, the mcl_3dl authors
00003  * All rights reserved.
00004  *
00005  * Redistribution and use in source and binary forms, with or without
00006  * modification, are permitted provided that the following conditions are met:
00007  *
00008  *     * Redistributions of source code must retain the above copyright
00009  *       notice, this list of conditions and the following disclaimer.
00010  *     * Redistributions in binary form must reproduce the above copyright
00011  *       notice, this list of conditions and the following disclaimer in the
00012  *       documentation and/or other materials provided with the distribution.
00013  *     * Neither the name of the copyright holder nor the names of its 
00014  *       contributors may be used to endorse or promote products derived from 
00015  *       this software without specific prior written permission.
00016  *
00017  * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
00018  * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
00019  * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
00020  * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
00021  * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
00022  * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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00024  * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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00028  */
00029 
00030 #ifndef MCL_3DL_ND_H
00031 #define MCL_3DL_ND_H
00032 
00033 #define _USE_MATH_DEFINES
00034 #include <cmath>
00035 #include <Eigen/Core>
00036 #include <Eigen/LU>
00037 
00038 namespace mcl_3dl
00039 {
00040 template <typename FLT_TYPE = float>
00041 class NormalLikelihood
00042 {
00043 public:
00044   explicit NormalLikelihood(const FLT_TYPE sigma)
00045   {
00046     a_ = 1.0 / sqrtf(2.0 * M_PI * sigma * sigma);
00047     sq2_ = sigma * sigma * 2.0;
00048   }
00049   FLT_TYPE operator()(const FLT_TYPE x) const
00050   {
00051     return a_ * expf(-x * x / sq2_);
00052   }
00053 
00054 protected:
00055   FLT_TYPE a_;
00056   FLT_TYPE sq2_;
00057 };
00058 
00059 template <typename FLT_TYPE = float, size_t DIMENSION = 6>
00060 class NormalLikelihoodNd
00061 {
00062 public:
00063   using Matrix = Eigen::Matrix<FLT_TYPE, DIMENSION, DIMENSION>;
00064   using Vector = Eigen::Matrix<FLT_TYPE, DIMENSION, 1>;
00065 
00066   explicit NormalLikelihoodNd(const Matrix sigma)
00067   {
00068     a_ = 1.0 / (pow(2.0 * M_PI, 0.5 * DIMENSION) * sqrt(sigma.determinant()));
00069     sigma_inv_ = sigma.inverse();
00070   }
00071   FLT_TYPE operator()(const Vector x) const
00072   {
00073     return a_ * expf(-0.5 * x.transpose() * sigma_inv_ * x);
00074   }
00075 
00076 protected:
00077   FLT_TYPE a_;
00078   Matrix sigma_inv_;
00079 };
00080 }  // namespace mcl_3dl
00081 
00082 #endif  // MCL_3DL_ND_H


mcl_3dl
Author(s): Atsushi Watanabe
autogenerated on Thu Jun 20 2019 20:04:43