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Point Cloud Library (PCL)
1.6.0
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RadiusOutlierRemoval is a simple filter that removes outliers if the number of neighbors in a certain search radius is smaller than a given K. More...
#include <pcl/filters/radius_outlier_removal.h>


Public Types | |
| typedef PointIndices::Ptr | PointIndicesPtr |
| typedef PointIndices::ConstPtr | PointIndicesConstPtr |
Public Member Functions | |
| RadiusOutlierRemoval (bool extract_removed_indices=false) | |
| Empty constructor. More... | |
| void | setRadiusSearch (double radius) |
| Set the sphere radius that is to be used for determining the k-nearest neighbors for filtering. More... | |
| double | getRadiusSearch () |
| Get the sphere radius used for determining the k-nearest neighbors. More... | |
| void | setMinNeighborsInRadius (int min_pts) |
| Set the minimum number of neighbors that a point needs to have in the given search radius in order to be considered an inlier (i.e., valid). More... | |
| double | getMinNeighborsInRadius () |
| Get the minimum number of neighbors that a point needs to have in the given search radius to be considered an inlier and avoid being filtered. More... | |
| IndicesConstPtr const | getRemovedIndices () |
| Get the point indices being removed. More... | |
| void | filter (PointCloud2 &output) |
| Calls the filtering method and returns the filtered dataset in output. More... | |
| void | setInputCloud (const PointCloud2ConstPtr &cloud) |
| Provide a pointer to the input dataset. More... | |
| PointCloud2ConstPtr const | getInputCloud () |
| Get a pointer to the input point cloud dataset. More... | |
| void | setIndices (const IndicesPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More... | |
| void | setIndices (const PointIndicesConstPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More... | |
| IndicesPtr const | getIndices () |
| Get a pointer to the vector of indices used. More... | |
RadiusOutlierRemoval is a simple filter that removes outliers if the number of neighbors in a certain search radius is smaller than a given K.
Definition at line 188 of file radius_outlier_removal.h.
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inherited |
Definition at line 280 of file pcl_base.h.
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inherited |
Definition at line 279 of file pcl_base.h.
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inline |
Empty constructor.
Definition at line 205 of file radius_outlier_removal.h.
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inherited |
Calls the filtering method and returns the filtered dataset in output.
| [out] | output | the resultant filtered point cloud dataset |
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inlineinherited |
Get a pointer to the vector of indices used.
Definition at line 329 of file pcl_base.h.
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inlineinherited |
Get a pointer to the input point cloud dataset.
Definition at line 303 of file pcl_base.h.
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inline |
Get the minimum number of neighbors that a point needs to have in the given search radius to be considered an inlier and avoid being filtered.
Definition at line 242 of file radius_outlier_removal.h.
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inline |
Get the sphere radius used for determining the k-nearest neighbors.
Definition at line 223 of file radius_outlier_removal.h.
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inlineinherited |
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inlineinherited |
Provide a pointer to the vector of indices that represents the input data.
| indices | a pointer to the vector of indices that represents the input data. |
Definition at line 309 of file pcl_base.h.
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inlineinherited |
Provide a pointer to the vector of indices that represents the input data.
| indices | a pointer to the vector of indices that represents the input data. |
Definition at line 320 of file pcl_base.h.
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inherited |
Provide a pointer to the input dataset.
| cloud | the const boost shared pointer to a PointCloud message |
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inline |
Set the minimum number of neighbors that a point needs to have in the given search radius in order to be considered an inlier (i.e., valid).
| min_pts | the minimum number of neighbors |
Definition at line 233 of file radius_outlier_removal.h.
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inline |
Set the sphere radius that is to be used for determining the k-nearest neighbors for filtering.
| radius | the sphere radius that is to contain all k-nearest neighbors |
Definition at line 216 of file radius_outlier_removal.h.
1.8.4