Point Cloud Library (PCL)
1.11.0
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40 #include <pcl/pcl_base.h>
42 #include <pcl/search/pcl_search.h>
55 template <
typename Po
intT>
62 template <
typename Po
intT>
63 PCL_DEPRECATED(1, 12,
"tgt parameter is not used; it is deprecated and will be removed in future releases")
68 const typename
pcl::search::Search<
PointT>::Ptr &tree,
71 getPointCloudDifference<PointT> (src, threshold, tree, output);
83 template <
typename Po
intT>
113 inline PointCloudConstPtr
const
170 #ifdef PCL_NO_PRECOMPILE
171 #include <pcl/segmentation/impl/segment_differences.hpp>
Defines all the PCL and non-PCL macros used.
typename PointCloud::ConstPtr PointCloudConstPtr
PointCloudConstPtr input_
The input point cloud dataset.
typename PointCloud::Ptr PointCloudPtr
void segment(PointCloud &output)
Segment differences between two input point clouds.
PointIndices::ConstPtr PointIndicesConstPtr
PointCloud represents the base class in PCL for storing collections of 3D points.
A point structure representing Euclidean xyz coordinates, and the RGB color.
void setDistanceThreshold(double sqr_threshold)
Set the maximum distance tolerance (squared) between corresponding points in the two input datasets.
KdTreePtr tree_
A pointer to the spatial search object.
PointCloudConstPtr target_
The input target point cloud dataset.
#define PCL_DEPRECATED(Major, Minor, Message)
macro for compatibility across compilers and help remove old deprecated items for the Major....
SegmentDifferences obtains the difference between two spatially aligned point clouds and returns the ...
shared_ptr< const ::pcl::PointIndices > ConstPtr
void setTargetCloud(const PointCloudConstPtr &cloud)
Provide a pointer to the target dataset against which we compare the input cloud given in setInputClo...
double distance_threshold_
The distance tolerance (squared) as a measure in the L2 Euclidean space between corresponding points.
PointCloudConstPtr const getTargetCloud()
Get a pointer to the input target point cloud dataset.
shared_ptr< pcl::search::Search< PointT > > Ptr
SegmentDifferences()
Empty constructor.
shared_ptr< ::pcl::PointIndices > Ptr
virtual std::string getClassName() const
Class getName method.
double getDistanceThreshold()
Get the squared distance tolerance between corresponding points as a measure in the L2 Euclidean spac...
shared_ptr< PointCloud< PointT > > Ptr
bool deinitCompute()
This method should get called after finishing the actual computation.
IndicesPtr indices_
A pointer to the vector of point indices to use.
shared_ptr< const PointCloud< PointT > > ConstPtr
typename KdTree::Ptr KdTreePtr
PointIndices::Ptr PointIndicesPtr
void getPointCloudDifference(const pcl::PointCloud< PointT > &src, double threshold, const typename pcl::search::Search< PointT >::Ptr &tree, pcl::PointCloud< PointT > &output)
Obtain the difference between two aligned point clouds as another point cloud, given a distance thres...
KdTreePtr getSearchMethod()
Get a pointer to the search method used.
bool initCompute()
This method should get called before starting the actual computation.
void setSearchMethod(const KdTreePtr &tree)
Provide a pointer to the search object.