Realtime change detection of pointcloud using octree. See paper below: More...
#include <octree_change_publisher.h>

| Public Types | |
| typedef OctreeChangePublisherConfig | Config | 
| Protected Member Functions | |
| virtual void | cloud_cb (const sensor_msgs::PointCloud2 &pc) | 
| virtual void | config_callback (Config &config, uint32_t level) | 
| virtual void | subscribe () | 
| virtual void | unsubscribe () | 
| Protected Attributes | |
| int | counter_ | 
| ros::Publisher | diff_pub_ | 
| pcl::PointCloud< pcl::PointXYZRGB >::Ptr | filtered_cloud | 
| boost::mutex | mtx_ | 
| int | noise_filter_ | 
| pcl::octree::OctreePointCloudChangeDetector< pcl::PointXYZRGB > * | octree_ | 
| double | resolution_ | 
| boost::shared_ptr< dynamic_reconfigure::Server< Config > > | srv_ | 
| ros::Subscriber | sub_ | 
| Private Member Functions | |
| virtual void | onInit () | 
Realtime change detection of pointcloud using octree. See paper below:
@INPROCEEDINGS{6224647, author={Kammerl, J. and Blodow, N. and Rusu, R.B. and Gedikli, S. and Beetz, M. and Steinbach, E.}, booktitle={Robotics and Automation (ICRA), 2012 IEEE International Conference on}, title={Real-time compression of point cloud streams}, year={2012}, pages={778-785}, keywords={cloud computing;data compression;tree data structures;coding complexity;coding precision;novel lossy compression approach;octree data structures;point cloud streams;real-time compression;spatial decomposition;temporal redundancy;Decoding;Encoding;Entropy;Octrees;Real time systems;Sensors}, doi={10.1109/ICRA.2012.6224647}, ISSN={1050-4729}, month={May},}
Definition at line 102 of file octree_change_publisher.h.
| typedef OctreeChangePublisherConfig jsk_pcl_ros::OctreeChangePublisher::Config | 
Definition at line 137 of file octree_change_publisher.h.
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