Visual Servoing Platform version 3.7.0
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vpRobust.h
1/*
2 * ViSP, open source Visual Servoing Platform software.
3 * Copyright (C) 2005 - 2024 by Inria. All rights reserved.
4 *
5 * This software is free software; you can redistribute it and/or modify
6 * it under the terms of the GNU General Public License as published by
7 * the Free Software Foundation; either version 2 of the License, or
8 * (at your option) any later version.
9 * See the file LICENSE.txt at the root directory of this source
10 * distribution for additional information about the GNU GPL.
11 *
12 * For using ViSP with software that can not be combined with the GNU
13 * GPL, please contact Inria about acquiring a ViSP Professional
14 * Edition License.
15 *
16 * See https://visp.inria.fr for more information.
17 *
18 * This software was developed at:
19 * Inria Rennes - Bretagne Atlantique
20 * Campus Universitaire de Beaulieu
21 * 35042 Rennes Cedex
22 * France
23 *
24 * If you have questions regarding the use of this file, please contact
25 * Inria at visp@inria.fr
26 *
27 * This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
28 * WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
29 *
30 * Description:
31 * M-Estimator and various influence function.
32 */
33
37
38#ifndef VP_ROBUST_H
39#define VP_ROBUST_H
40
41#include <visp3/core/vpConfig.h>
42#include <visp3/core/vpColVector.h>
43#include <visp3/core/vpMath.h>
44
83class VISP_EXPORT vpRobust
84{
85public:
87 typedef enum
88 {
92 } vpRobustEstimatorType;
93
94public:
95 vpRobust();
96 vpRobust(const vpRobust &other);
97
99 virtual ~vpRobust() { }
100
110 double getMedianAbsoluteDeviation() { return m_mad; }
111
118 double getMinMedianAbsoluteDeviation() { return m_mad_min; }
119
120 void MEstimator(const vpRobustEstimatorType method, const vpColVector &residues, vpColVector &weights);
121
122 vpRobust &operator=(const vpRobust &other);
123#if (VISP_CXX_STANDARD >= VISP_CXX_STANDARD_11)
124 vpRobust &operator=(const vpRobust &&other);
125#endif
126
136 inline void setMinMedianAbsoluteDeviation(double mad_min) { m_mad_min = mad_min; }
137
138#if defined(VISP_BUILD_DEPRECATED_FUNCTIONS)
143 VP_DEPRECATED VP_EXPLICIT vpRobust(unsigned int n_data);
145 void MEstimator(const vpRobustEstimatorType method, const vpColVector &residues, const vpColVector &all_residues,
146 vpColVector &weights);
151 VP_DEPRECATED void setIteration(unsigned int iter) { m_iter = iter; }
160 VP_DEPRECATED inline void setThreshold(double mad_min) { m_mad_min = mad_min; }
161 VP_DEPRECATED vpColVector simultMEstimator(vpColVector &residues);
163#endif
164private:
166 vpColVector m_normres;
168 vpColVector m_sorted_normres;
170 vpColVector m_sorted_residues;
171
173 double m_mad_min;
175 double m_mad_prev;
176#if defined(VISP_BUILD_DEPRECATED_FUNCTIONS)
178 unsigned int m_iter;
179#endif
181 unsigned int m_size;
183 double m_mad;
184
185private:
187 void resize(unsigned int n_data);
188
189 //---------------------------------
190 // Partial derivative of loss function with respect to the residue
191 //---------------------------------
194
195 void psiTukey(double sigma, const vpColVector &x, vpColVector &w);
197 void psiCauchy(double sigma, const vpColVector &x, vpColVector &w);
199 void psiHuber(double sigma, const vpColVector &x, vpColVector &w);
201
202#if defined(VISP_BUILD_DEPRECATED_FUNCTIONS)
203 double computeNormalizedMedian(vpColVector &all_normres, const vpColVector &residues, const vpColVector &all_residues,
204 const vpColVector &weights);
206 double simultscale(const vpColVector &x);
208 double simult_chi_huber(double x);
209
210 //---------------------------------
211 // Constrained Partial derivative of loss function with respect to the scale
212 //---------------------------------
215
216 double constrainedChi(vpRobustEstimatorType method, double x);
218 double constrainedChiTukey(double x);
220 double constrainedChiCauchy(double x);
222 double constrainedChiHuber(double x);
224
225#if !defined(VISP_HAVE_FUNC_ERFC) && !defined(VISP_HAVE_FUNC_STD_ERFC)
226 //---------------------------------
227 // Mathematic functions used to calculate the Expectation
228 //---------------------------------
231 double erf(double x);
232 double gammp(double a, double x);
233 void gser(double *gamser, double a, double x, double *gln);
234 void gcf(double *gammcf, double a, double x, double *gln);
235 double gammln(double xx);
237#endif
238#endif
239
242
243 int partition(vpColVector &a, int l, int r);
245 double select(vpColVector &a, int l, int r, int k);
247};
248END_VISP_NAMESPACE
249#endif
Implementation of column vector and the associated operations.
Contains an M-estimator and various influence function.
Definition vpRobust.h:84
VP_DEPRECATED void setIteration(unsigned int iter)
Definition vpRobust.h:151
VP_DEPRECATED void setThreshold(double mad_min)
Definition vpRobust.h:160
@ HUBER
Huber influence function.
Definition vpRobust.h:91
@ TUKEY
Tukey influence function.
Definition vpRobust.h:89
@ CAUCHY
Cauchy influence function.
Definition vpRobust.h:90
void setMinMedianAbsoluteDeviation(double mad_min)
Definition vpRobust.h:136
double getMedianAbsoluteDeviation()
Definition vpRobust.h:110
double getMinMedianAbsoluteDeviation()
Definition vpRobust.h:118
virtual ~vpRobust()
Destructor.
Definition vpRobust.h:99