openni_planar_segmentation.cpp
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00001 /*
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00035 
00036 #include <boost/thread/thread.hpp>
00037 #include <boost/date_time/posix_time/posix_time.hpp>
00038 #include <pcl/point_cloud.h>
00039 #include <pcl/point_types.h>
00040 #include <pcl/io/openni_grabber.h>
00041 #include <pcl/visualization/cloud_viewer.h>
00042 #include <pcl/io/openni_camera/openni_driver.h>
00043 #include <pcl/console/parse.h>
00044 #include <pcl/sample_consensus/method_types.h>
00045 #include <pcl/sample_consensus/model_types.h>
00046 #include <pcl/segmentation/sac_segmentation.h>
00047 #include <pcl/filters/voxel_grid.h>
00048 #include <pcl/filters/extract_indices.h>
00049 
00050 
00051 template <typename PointType>
00052 class OpenNIPlanarSegmentation
00053 {
00054   public:
00055     typedef pcl::PointCloud<PointType> Cloud;
00056     typedef typename Cloud::Ptr CloudPtr;
00057     typedef typename Cloud::ConstPtr CloudConstPtr;
00058 
00059     OpenNIPlanarSegmentation (const std::string& device_id = "", double threshold = 0.01)
00060       : viewer ("PCL OpenNI Planar Segmentation Viewer"),
00061         device_id_ (device_id)
00062     {
00063       grid_.setFilterFieldName ("z");
00064       grid_.setFilterLimits (0.0f, 3.0f);
00065       grid_.setLeafSize (0.01f, 0.01f, 0.01f);
00066 
00067       seg_.setOptimizeCoefficients (true);
00068       seg_.setModelType (pcl::SACMODEL_PLANE);
00069       seg_.setMethodType (pcl::SAC_RANSAC);
00070       seg_.setMaxIterations (1000);
00071       seg_.setDistanceThreshold (threshold);
00072 
00073       extract_.setNegative (false);
00074     }
00075 
00076     void 
00077     cloud_cb_ (const CloudConstPtr& cloud)
00078     {
00079       set (cloud);
00080     }
00081 
00082     void
00083     set (const CloudConstPtr& cloud)
00084     {
00085       //lock while we set our cloud;
00086       boost::mutex::scoped_lock lock (mtx_);
00087       cloud_  = cloud;
00088     }
00089 
00090     CloudPtr
00091     get ()
00092     {
00093       //lock while we swap our cloud and reset it.
00094       boost::mutex::scoped_lock lock (mtx_);
00095       CloudPtr temp_cloud (new Cloud);
00096       CloudPtr temp_cloud2 (new Cloud);
00097 
00098       grid_.setInputCloud (cloud_);
00099       grid_.filter (*temp_cloud);
00100 
00101       pcl::ModelCoefficients::Ptr coefficients (new pcl::ModelCoefficients ());
00102       pcl::PointIndices::Ptr inliers (new pcl::PointIndices ());
00103 
00104       seg_.setInputCloud (temp_cloud);
00105       seg_.segment (*inliers, *coefficients);
00106 
00107       extract_.setInputCloud (temp_cloud);
00108       extract_.setIndices (inliers);
00109       extract_.filter (*temp_cloud2);
00110 
00111       return (temp_cloud2);
00112     }
00113 
00114     void
00115     run ()
00116     {
00117       pcl::Grabber* interface = new pcl::OpenNIGrabber (device_id_);
00118 
00119       boost::function<void (const CloudConstPtr&)> f = boost::bind (&OpenNIPlanarSegmentation::cloud_cb_, this, _1);
00120       boost::signals2::connection c = interface->registerCallback (f);
00121       
00122       interface->start ();
00123       
00124       while (!viewer.wasStopped ())
00125       {
00126         if (cloud_)
00127         {
00128           //the call to get() sets the cloud_ to null;
00129           viewer.showCloud (get ());
00130         }
00131       }
00132 
00133       interface->stop ();
00134     }
00135 
00136     pcl::visualization::CloudViewer viewer;
00137     pcl::VoxelGrid<PointType> grid_;
00138     pcl::SACSegmentation<PointType> seg_;
00139     pcl::ExtractIndices<PointType> extract_;
00140 
00141     std::string device_id_;
00142     boost::mutex mtx_;
00143     CloudConstPtr cloud_;
00144 };
00145 
00146 void
00147 usage (char ** argv)
00148 {
00149   std::cout << "usage: " << argv[0] << " <device_id> <options>\n\n"
00150             << "where options are:\n         -thresh X        :: set the planar segmentation threshold (default: 0.5)\n";
00151 
00152   openni_wrapper::OpenNIDriver& driver = openni_wrapper::OpenNIDriver::getInstance ();
00153   if (driver.getNumberDevices () > 0)
00154   {
00155     for (unsigned deviceIdx = 0; deviceIdx < driver.getNumberDevices (); ++deviceIdx)
00156     {
00157       cout << "Device: " << deviceIdx + 1 << ", vendor: " << driver.getVendorName (deviceIdx) << ", product: " << driver.getProductName (deviceIdx)
00158               << ", connected: " << driver.getBus (deviceIdx) << " @ " << driver.getAddress (deviceIdx) << ", serial number: \'" << driver.getSerialNumber (deviceIdx) << "\'" << endl;
00159       cout << "device_id may be #1, #2, ... for the first second etc device in the list or" << endl
00160            << "                 bus@address for the device connected to a specific usb-bus / address combination (works only in Linux) or" << endl
00161            << "                 <serial-number> (only in Linux and for devices which provide serial numbers)"  << endl;
00162     }
00163   }
00164   else
00165     cout << "No devices connected." << endl;
00166 }
00167 
00168 int 
00169 main (int argc, char ** argv)
00170 {
00171   if (argc < 2)
00172   {
00173     usage (argv);
00174     return 1;
00175   }
00176 
00177   std::string arg (argv[1]);
00178   
00179   if (arg == "--help" || arg == "-h")
00180   {
00181     usage (argv);
00182     return 1;
00183   }
00184 
00185   double threshold = 0.05;
00186   pcl::console::parse_argument (argc, argv, "-thresh", threshold);
00187 
00188   pcl::OpenNIGrabber grabber (arg);
00189   if (grabber.providesCallback<pcl::OpenNIGrabber::sig_cb_openni_point_cloud_rgba> ())
00190   {
00191     OpenNIPlanarSegmentation<pcl::PointXYZRGBA> v (arg, threshold);
00192     v.run ();
00193   }
00194   else
00195   {
00196     OpenNIPlanarSegmentation<pcl::PointXYZ> v (arg, threshold);
00197     v.run ();
00198   }
00199 
00200   return (0);
00201 }


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:16:03