OpenGV
A library for solving calibrated central and non-central geometric vision problems
OptimizationFunctor.hpp
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2  * Author: Laurent Kneip *
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30 
37 #ifndef OPENGV_OPTIMIZATIONFUNCTOR_HPP_
38 #define OPENGV_OPTIMIZATIONFUNCTOR_HPP_
39 
40 #include <stdlib.h>
41 #include <Eigen/Eigen>
42 #include <Eigen/src/Core/util/DisableStupidWarnings.h>
43 
44 using namespace std;
45 using namespace Eigen;
46 
50 namespace opengv
51 {
52 
57 template<typename _Scalar, int NX=Dynamic, int NY=Dynamic>
59 {
61  typedef _Scalar Scalar;
63  enum
64  {
65  InputsAtCompileTime = NX,
66  ValuesAtCompileTime = NY
67  };
69  typedef Matrix<Scalar,InputsAtCompileTime,1> InputType;
71  typedef Matrix<Scalar,ValuesAtCompileTime,1> ValueType;
73  typedef Matrix<Scalar,ValuesAtCompileTime,InputsAtCompileTime> JacobianType;
74 
76  const int m_inputs;
78  const int m_values;
79 
82  m_inputs(InputsAtCompileTime),
83  m_values(ValuesAtCompileTime) {}
85  OptimizationFunctor(int inputs, int values) :
86  m_inputs(inputs),
87  m_values(values) {}
88 
90  int inputs() const
91  {
92  return m_inputs;
93  }
95  int values() const
96  {
97  return m_values;
98  }
99 };
100 
101 }
102 
103 #endif /* OPENGV_OPTIMIZATIONFUNCTOR_HPP_ */
The namespace of this library.
Definition: AbsoluteAdapterBase.hpp:47
_Scalar Scalar
Definition: OptimizationFunctor.hpp:61
Definition: OptimizationFunctor.hpp:58
const int m_inputs
Definition: OptimizationFunctor.hpp:76
Matrix< Scalar, ValuesAtCompileTime, InputsAtCompileTime > JacobianType
Definition: OptimizationFunctor.hpp:73
int values() const
Definition: OptimizationFunctor.hpp:95
OptimizationFunctor(int inputs, int values)
Definition: OptimizationFunctor.hpp:85
OptimizationFunctor()
Definition: OptimizationFunctor.hpp:81
Matrix< Scalar, InputsAtCompileTime, 1 > InputType
Definition: OptimizationFunctor.hpp:69
const int m_values
Definition: OptimizationFunctor.hpp:78
int inputs() const
Definition: OptimizationFunctor.hpp:90
Matrix< Scalar, ValuesAtCompileTime, 1 > ValueType
Definition: OptimizationFunctor.hpp:71