openni_planar_segmentation.cpp
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00001 /*
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00035 
00036 #include <pcl/point_cloud.h>
00037 #include <pcl/point_types.h>
00038 #include <pcl/io/openni_grabber.h>
00039 #include <pcl/visualization/cloud_viewer.h>
00040 #include <pcl/io/openni_camera/openni_driver.h>
00041 #include <pcl/console/parse.h>
00042 #include <pcl/sample_consensus/method_types.h>
00043 #include <pcl/sample_consensus/model_types.h>
00044 #include <pcl/segmentation/sac_segmentation.h>
00045 #include <pcl/filters/voxel_grid.h>
00046 #include <pcl/filters/extract_indices.h>
00047 
00048 
00049 template <typename PointType>
00050 class OpenNIPlanarSegmentation
00051 {
00052   public:
00053     typedef pcl::PointCloud<PointType> Cloud;
00054     typedef typename Cloud::Ptr CloudPtr;
00055     typedef typename Cloud::ConstPtr CloudConstPtr;
00056 
00057     OpenNIPlanarSegmentation (const std::string& device_id = "", double threshold = 0.01)
00058       : viewer ("PCL OpenNI Planar Segmentation Viewer"),
00059         device_id_ (device_id)
00060     {
00061       grid_.setFilterFieldName ("z");
00062       grid_.setFilterLimits (0.0f, 3.0f);
00063       grid_.setLeafSize (0.01f, 0.01f, 0.01f);
00064 
00065       seg_.setOptimizeCoefficients (true);
00066       seg_.setModelType (pcl::SACMODEL_PLANE);
00067       seg_.setMethodType (pcl::SAC_RANSAC);
00068       seg_.setMaxIterations (1000);
00069       seg_.setDistanceThreshold (threshold);
00070 
00071       extract_.setNegative (false);
00072     }
00073 
00074     void 
00075     cloud_cb_ (const CloudConstPtr& cloud)
00076     {
00077       set (cloud);
00078     }
00079 
00080     void
00081     set (const CloudConstPtr& cloud)
00082     {
00083       //lock while we set our cloud;
00084       boost::mutex::scoped_lock lock (mtx_);
00085       cloud_  = cloud;
00086     }
00087 
00088     CloudPtr
00089     get ()
00090     {
00091       //lock while we swap our cloud and reset it.
00092       boost::mutex::scoped_lock lock (mtx_);
00093       CloudPtr temp_cloud (new Cloud);
00094       CloudPtr temp_cloud2 (new Cloud);
00095 
00096       grid_.setInputCloud (cloud_);
00097       grid_.filter (*temp_cloud);
00098 
00099       pcl::ModelCoefficients::Ptr coefficients (new pcl::ModelCoefficients ());
00100       pcl::PointIndices::Ptr inliers (new pcl::PointIndices ());
00101 
00102       seg_.setInputCloud (temp_cloud);
00103       seg_.segment (*inliers, *coefficients);
00104 
00105       extract_.setInputCloud (temp_cloud);
00106       extract_.setIndices (inliers);
00107       extract_.filter (*temp_cloud2);
00108 
00109       return (temp_cloud2);
00110     }
00111 
00112     void
00113     run ()
00114     {
00115       pcl::Grabber* interface = new pcl::OpenNIGrabber (device_id_);
00116 
00117       boost::function<void (const CloudConstPtr&)> f = boost::bind (&OpenNIPlanarSegmentation::cloud_cb_, this, _1);
00118       boost::signals2::connection c = interface->registerCallback (f);
00119       
00120       interface->start ();
00121       
00122       while (!viewer.wasStopped ())
00123       {
00124         if (cloud_)
00125         {
00126           //the call to get() sets the cloud_ to null;
00127           viewer.showCloud (get ());
00128         }
00129       }
00130 
00131       interface->stop ();
00132     }
00133 
00134     pcl::visualization::CloudViewer viewer;
00135     pcl::VoxelGrid<PointType> grid_;
00136     pcl::SACSegmentation<PointType> seg_;
00137     pcl::ExtractIndices<PointType> extract_;
00138 
00139     std::string device_id_;
00140     boost::mutex mtx_;
00141     CloudConstPtr cloud_;
00142 };
00143 
00144 void
00145 usage (char ** argv)
00146 {
00147   std::cout << "usage: " << argv[0] << " <device_id> <options>\n\n"
00148             << "where options are:\n         -thresh X        :: set the planar segmentation threshold (default: 0.5)\n";
00149 
00150   openni_wrapper::OpenNIDriver& driver = openni_wrapper::OpenNIDriver::getInstance ();
00151   if (driver.getNumberDevices () > 0)
00152   {
00153     for (unsigned deviceIdx = 0; deviceIdx < driver.getNumberDevices (); ++deviceIdx)
00154     {
00155       cout << "Device: " << deviceIdx + 1 << ", vendor: " << driver.getVendorName (deviceIdx) << ", product: " << driver.getProductName (deviceIdx)
00156               << ", connected: " << driver.getBus (deviceIdx) << " @ " << driver.getAddress (deviceIdx) << ", serial number: \'" << driver.getSerialNumber (deviceIdx) << "\'" << endl;
00157       cout << "device_id may be #1, #2, ... for the first second etc device in the list or" << endl
00158            << "                 bus@address for the device connected to a specific usb-bus / address combination (works only in Linux) or" << endl
00159            << "                 <serial-number> (only in Linux and for devices which provide serial numbers)"  << endl;
00160     }
00161   }
00162   else
00163     cout << "No devices connected." << endl;
00164 }
00165 
00166 int 
00167 main (int argc, char ** argv)
00168 {
00169   if (argc < 2)
00170   {
00171     usage (argv);
00172     return 1;
00173   }
00174 
00175   std::string arg (argv[1]);
00176   
00177   if (arg == "--help" || arg == "-h")
00178   {
00179     usage (argv);
00180     return 1;
00181   }
00182 
00183   double threshold = 0.05;
00184   pcl::console::parse_argument (argc, argv, "-thresh", threshold);
00185 
00186   pcl::OpenNIGrabber grabber (arg);
00187   if (grabber.providesCallback<pcl::OpenNIGrabber::sig_cb_openni_point_cloud_rgba> ())
00188   {
00189     OpenNIPlanarSegmentation<pcl::PointXYZRGBA> v (arg, threshold);
00190     v.run ();
00191   }
00192   else
00193   {
00194     OpenNIPlanarSegmentation<pcl::PointXYZ> v (arg, threshold);
00195     v.run ();
00196   }
00197 
00198   return (0);
00199 }


pcl
Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:26:52