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Point Cloud Library (PCL)
1.6.0
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StatisticalOutlierRemoval uses point neighborhood statistics to filter outlier data. More...
#include <pcl/filters/statistical_outlier_removal.h>


Public Types | |
| typedef PointIndices::Ptr | PointIndicesPtr |
| typedef PointIndices::ConstPtr | PointIndicesConstPtr |
Public Member Functions | |
| StatisticalOutlierRemoval (bool extract_removed_indices=false) | |
| Empty constructor. More... | |
| void | setMeanK (int nr_k) |
| Set the number of points (k) to use for mean distance estimation. More... | |
| int | getMeanK () |
| Get the number of points to use for mean distance estimation. More... | |
| void | setStddevMulThresh (double std_mul) |
| Set the standard deviation multiplier threshold. More... | |
| double | getStddevMulThresh () |
| Get the standard deviation multiplier threshold as set by the user. More... | |
| void | setNegative (bool negative) |
| Set whether the indices should be returned, or all points except the indices. More... | |
| bool | getNegative () |
| Get the value of the internal #negative_ parameter. 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... | |
StatisticalOutlierRemoval uses point neighborhood statistics to filter outlier data.
For more information check:
Definition at line 197 of file statistical_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 214 of file statistical_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 number of points to use for mean distance estimation.
Definition at line 232 of file statistical_outlier_removal.h.
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inline |
Get the value of the internal #negative_ parameter.
If true, all points except the input indices will be returned.
Definition at line 270 of file statistical_outlier_removal.h.
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inlineinherited |
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inline |
Get the standard deviation multiplier threshold as set by the user.
Definition at line 251 of file statistical_outlier_removal.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 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 number of points (k) to use for mean distance estimation.
| nr_k | the number of points to use for mean distance estimation |
Definition at line 225 of file statistical_outlier_removal.h.
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inline |
Set whether the indices should be returned, or all points except the indices.
| negative | true if all points except the input indices will be returned, false otherwise |
Definition at line 260 of file statistical_outlier_removal.h.
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inline |
Set the standard deviation multiplier threshold.
All points outside the
will be considered outliers, where
is the estimated mean, and
is the standard deviation.
| std_mul | the standard deviation multiplier threshold |
Definition at line 244 of file statistical_outlier_removal.h.
1.8.4