Include dependency graph for registration/include/pcl/registration/distances.h:
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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::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::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::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. | |