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vector_average.h
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36 
37 #ifndef PCL_VECTOR_AVERAGE_H
38 #define PCL_VECTOR_AVERAGE_H
39 
40 #include <pcl/common/eigen.h>
41 
42 namespace pcl
43 {
51  template <typename real, int dimension>
53  {
54  public:
55  //-----CONSTRUCTOR&DESTRUCTOR-----
57  VectorAverage ();
60 
61  //-----METHODS-----
63  inline void
64  reset ();
65 
67  inline const
68  Eigen::Matrix<real, dimension, 1>& getMean () const { return mean_;}
69 
71  inline const
72  Eigen::Matrix<real, dimension, dimension>& getCovariance () const { return covariance_;}
73 
75  inline real
76  getAccumulatedWeight () const { return accumulatedWeight_;}
77 
79  inline unsigned int
80  getNoOfSamples () { return noOfSamples_;}
81 
83  inline void
84  add (const Eigen::Matrix<real, dimension, 1>& sample, real weight=1.0);
85 
87  inline void
88  doPCA (Eigen::Matrix<real, dimension, 1>& eigen_values, Eigen::Matrix<real, dimension, 1>& eigen_vector1,
89  Eigen::Matrix<real, dimension, 1>& eigen_vector2, Eigen::Matrix<real, dimension, 1>& eigen_vector3) const;
90 
92  inline void
93  doPCA (Eigen::Matrix<real, dimension, 1>& eigen_values) const;
94 
96  inline void
97  getEigenVector1 (Eigen::Matrix<real, dimension, 1>& eigen_vector1) const;
98 
99  //-----VARIABLES-----
100 
101  protected:
102  //-----METHODS-----
103  //-----VARIABLES-----
104  unsigned int noOfSamples_;
105  real accumulatedWeight_;
106  Eigen::Matrix<real, dimension, 1> mean_;
107  Eigen::Matrix<real, dimension, dimension> covariance_;
108  };
109 
113 } // END namespace
114 
116 
117 #endif // #ifndef PCL_VECTOR_AVERAGE_H
118