#include <pcl/filters/filter_indices.h>
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Classes | |
| class | pcl::CovarianceSampling< PointT, PointNT > |
| Point Cloud sampling based on the 6D covariances. It selects the points such that the resulting cloud is as stable as possible for being registered (against a copy of itself) with ICP. The algorithm adds points to the resulting cloud incrementally, while trying to keep all the 6 eigenvalues of the covariance matrix as close to each other as possible. This class also comes with the computeConditionNumber method that returns a number which shows how stable a point cloud will be when used as input for ICP (the closer the value it is to 1.0, the better). More... | |
Namespaces | |
| namespace | pcl |