convex_connected_voxels.h
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00001 // -*- mode: c++ -*-
00002 /*********************************************************************
00003  * Software License Agreement (BSD License)
00004  *
00005  *  Copyright (c) 2015, JSK Lab
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00008  *  Redistribution and use in source and binary forms, with or without
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00035 
00036 
00037 #ifndef _CONVEX_CONNECTED_VOXELS_H_
00038 #define _CONVEX_CONNECTED_VOXELS_H_
00039 
00040 #include <jsk_pcl_ros/region_adjacency_graph.h>
00041 #include <jsk_recognition_msgs/ClusterPointIndices.h>
00042 #include <jsk_recognition_utils/pcl_conversion_util.h>
00043 #include <jsk_topic_tools/diagnostic_nodelet.h>
00044 
00045 // ROS header directives
00046 #include <ros/ros.h>
00047 #include <ros/console.h>
00048 
00049 // ROS sensor message header directives
00050 #include <image_transport/image_transport.h>
00051 #include <cv_bridge/cv_bridge.h>
00052 #include <sensor_msgs/image_encodings.h>
00053 #include <sensor_msgs/PointCloud2.h>
00054 #include <pcl_conversions/pcl_conversions.h>
00055 
00056 // OpenCV header directives
00057 #include <opencv2/imgproc/imgproc.hpp>
00058 #include <opencv2/highgui/highgui.hpp>
00059 
00060 // PCL header directives
00061 #include <pcl/point_cloud.h>
00062 #include <pcl/point_types.h>
00063 #include <pcl/kdtree/kdtree_flann.h>
00064 #include <pcl/kdtree/kdtree.h>
00065 #include <pcl/filters/passthrough.h>
00066 #include <pcl/features/normal_3d_omp.h>
00067 #include <pcl/sample_consensus/method_types.h>
00068 #include <pcl/sample_consensus/model_types.h>
00069 #include <pcl/segmentation/sac_segmentation.h>
00070 #include <pcl/segmentation/extract_clusters.h>
00071 #include <pcl/filters/extract_indices.h>
00072 #include <pcl/common/centroid.h>
00073 #include <pcl/common/impl/common.hpp>
00074 #include <pcl/registration/distances.h>
00075 
00076 #include <map>
00077 #include <string>
00078 
00079 
00080 namespace jsk_pcl_ros
00081 {
00082    class ConvexConnectedVoxels: public jsk_topic_tools::DiagnosticNodelet
00083    {
00084     public:
00085       ConvexConnectedVoxels() : DiagnosticNodelet("ConvexConnectedVoxels") {}
00086       typedef pcl::PointXYZRGB PointT;
00087 
00088     protected:
00089       void cloud_cb(
00090          const sensor_msgs::PointCloud2::ConstPtr &);
00091       void indices_cb(
00092          const jsk_recognition_msgs::ClusterPointIndices &);
00093       void segmentCloud(
00094          const pcl::PointCloud<PointT>::Ptr,
00095          const std::vector<pcl::PointIndices> &,
00096          std::vector<pcl::PointCloud<PointT>::Ptr> &,
00097          std::vector<pcl::PointCloud<pcl::Normal>::Ptr> &,
00098          pcl::PointCloud<pcl::PointXYZ>::Ptr);
00099       void estimatePointCloudNormals(
00100          const pcl::PointCloud<PointT>::Ptr,
00101          pcl::PointCloud<pcl::Normal>::Ptr,
00102          const int = 8, const double = 0.02,
00103          bool = true);
00104       void nearestNeigborSearch(
00105          pcl::PointCloud<pcl::PointXYZ>::Ptr,
00106          std::vector<std::vector<int> > &,
00107          const int = 8,
00108          const double = 0.02,
00109          bool = true);
00110       void getConvexLabelCloudIndices(
00111          const std::vector<pcl::PointCloud<PointT>::Ptr> &,
00112          pcl::PointCloud<PointT>::Ptr,
00113          const std::vector<int> &,
00114          std::map<int, pcl::PointIndices> &);
00115        
00116        boost::mutex mutex_;
00117        ros::Subscriber sub_cloud_;
00118        ros::Subscriber sub_indices_;
00119        ros::Publisher pub_indices_;
00120        ros::NodeHandle nh_;
00121 
00122        virtual void onInit();
00123        virtual void subscribe();
00124        virtual void unsubscribe();
00125        
00126     private:
00127       std::vector<pcl::PointIndices> indices_;
00128    };
00129 }  // namespace jsk_pcl_ros
00130 
00131 #endif  // _CONVEX_CONNECTED_VOXELS_H_


jsk_pcl_ros
Author(s): Yohei Kakiuchi
autogenerated on Tue Jul 2 2019 19:41:42