Point Cloud Library (PCL)  1.6.0
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distances.h File Reference
#include <Eigen/Core>
#include <vector>
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Namespaces

namespace  pcl
namespace  pcl::distances

Functions

double pcl::distances::computeMedian (double *fvec, int m)
 Compute the median value from a set of doubles.
double pcl::distances::huber (const Eigen::Vector4f &p_src, const Eigen::Vector4f &p_tgt, double sigma)
 Use a Huber kernel to estimate the distance between two vectors.
double pcl::distances::huber (double diff, double sigma)
 Use a Huber kernel to estimate the distance between two vectors.
double pcl::distances::gedikli (double val, double clipping, double slope=4)
 Use a Gedikli kernel to estimate the distance between two vectors (for more information, see.
double pcl::distances::l1 (const Eigen::Vector4f &p_src, const Eigen::Vector4f &p_tgt)
 Compute the Manhattan distance between two eigen vectors.
double pcl::distances::l2 (const Eigen::Vector4f &p_src, const Eigen::Vector4f &p_tgt)
 Compute the Euclidean distance between two eigen vectors.
double pcl::distances::l2Sqr (const Eigen::Vector4f &p_src, const Eigen::Vector4f &p_tgt)
 Compute the squared Euclidean distance between two eigen vectors.
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