distances.h
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00036  * $Id: distances.h 4367 2012-02-10 01:31:51Z rusu $
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00039 #ifndef PCL_REGISTRATION_DISTANCES_H
00040 #define PCL_REGISTRATION_DISTANCES_H
00041 
00042 #include <Eigen/Core>
00043 #include <vector>
00044 
00045 namespace pcl
00046 {
00047   namespace distances
00048   {
00049 
00054     inline double 
00055     computeMedian (double *fvec, int m)
00056     {
00057       // Copy the values to vectors for faster sorting
00058       std::vector<double> data (m);
00059       memcpy (&data[0], fvec, sizeof (double) * m);
00060       
00061       std::nth_element(data.begin(), data.begin() + (data.size () >> 1), data.end());
00062       return (data[data.size () >> 1]);
00063     }
00064 
00070     inline double
00071     huber (const Eigen::Vector4f &p_src, const Eigen::Vector4f &p_tgt, double sigma) 
00072     {
00073       Eigen::Array4f diff = (p_tgt.array () - p_src.array ()).abs ();
00074       double norm = 0.0;
00075       for (int i = 0; i < 3; ++i)
00076       {
00077         if (diff[i] < sigma)
00078           norm += diff[i] * diff[i];
00079         else
00080           norm += 2.0 * sigma * diff[i] - sigma * sigma;
00081       }
00082       return (norm);
00083     }
00084 
00089     inline double
00090     huber (double diff, double sigma) 
00091     {
00092       double norm = 0.0;
00093       if (diff < sigma)
00094         norm += diff * diff;
00095       else
00096         norm += 2.0 * sigma * diff - sigma * sigma;
00097       return (norm);
00098     }
00099 
00106     inline double
00107     gedikli (double val, double clipping, double slope = 4) 
00108     {
00109       return (1.0 / (1.0 + pow (fabs(val) / clipping, slope)));
00110     }
00111 
00116     inline double
00117     l1 (const Eigen::Vector4f &p_src, const Eigen::Vector4f &p_tgt) 
00118     {
00119       return ((p_src.array () - p_tgt.array ()).abs ().sum ());
00120     }
00121 
00126     inline double
00127     l2 (const Eigen::Vector4f &p_src, const Eigen::Vector4f &p_tgt) 
00128     {
00129       return ((p_src - p_tgt).norm ());
00130     }
00131 
00136     inline double
00137     l2Sqr (const Eigen::Vector4f &p_src, const Eigen::Vector4f &p_tgt) 
00138     {
00139       return ((p_src - p_tgt).squaredNorm ());
00140     }
00141   }
00142 }
00143 
00144 #endif


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:14:48