geo_util.h

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// -*- mode: c++ -*-
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#ifndef JSK_RECOGNITION_UTILS_GEO_UTIL_H_
#define JSK_RECOGNITION_UTILS_GEO_UTIL_H_
//#define BOOST_PARAMETER_MAX_ARITY 7 

#include <Eigen/Core>
#include <Eigen/Geometry>
#include <Eigen/StdVector>

#include <vector>

#include <boost/shared_ptr.hpp>
#include <boost/thread.hpp>
#include <geometry_msgs/Polygon.h>
#include <jsk_recognition_msgs/BoundingBox.h>
#include <jsk_recognition_msgs/SimpleOccupancyGrid.h>
#include <boost/tuple/tuple.hpp>

// PCL headers
#include <pcl/point_types.h>
#include <pcl/point_cloud.h>
#include <pcl/PointIndices.h>
#include <pcl/filters/extract_indices.h>
#include <pcl/ModelCoefficients.h>
#include <pcl/filters/project_inliers.h>
#include <pcl/surface/concave_hull.h>
#include <visualization_msgs/Marker.h>

#include "jsk_recognition_utils/pcl_util.h"
#include "jsk_recognition_utils/random_util.h"

#include <jsk_recognition_msgs/PolygonArray.h>
#include "jsk_recognition_utils/sensor_model/camera_depth_sensor.h"
#include "jsk_recognition_utils/types.h"
#include "jsk_recognition_utils/geo/line.h"
#include "jsk_recognition_utils/geo/segment.h"
#include "jsk_recognition_utils/geo/polyline.h"
#include "jsk_recognition_utils/geo/plane.h"
#include "jsk_recognition_utils/geo/polygon.h"
#include "jsk_recognition_utils/geo/convex_polygon.h"
#include "jsk_recognition_utils/geo/cube.h"
#include "jsk_recognition_utils/geo/cylinder.h"
#include "jsk_recognition_utils/geo/grid_plane.h"

// Utitlity macros
inline void ROS_INFO_EIGEN_VECTOR3(const std::string& prefix,
                                   const Eigen::Vector3f& v) {
  ROS_INFO("%s: [%f, %f, %f]", prefix.c_str(), v[0], v[1], v[2]);
}

namespace jsk_recognition_utils
{
  // compute quaternion from 3 unit vector
  // these vector should be normalized and diagonal
  Eigen::Quaternionf rotFrom3Axis(const Eigen::Vector3f& ex,
                                  const Eigen::Vector3f& ey,
                                  const Eigen::Vector3f& ez);
  template<class PointT>
  typename pcl::PointCloud<PointT>::Ptr verticesToPointCloud(const Vertices& v)
  {
    typename pcl::PointCloud<PointT>::Ptr cloud (new pcl::PointCloud<PointT>);
    for (size_t i = 0; i < v.size(); i++) {
      PointT p;
      // Do not use pointFromVectorToXYZ in order not to depend on
      // pcl_conversion_util
      //pointFromVectorToXYZ<Eigen::Vector3f, PointT>(v[i], p);
      p.x = v[i][0];
      p.y = v[i][1];
      p.z = v[i][2];
      cloud->points.push_back(p);
    }
    return cloud;
  }

  template<class PointT>
  Vertices pointCloudToVertices(const pcl::PointCloud<PointT>& cloud)
  {
    Vertices vs;
    for (size_t i = 0; i < cloud.points.size(); i++) {
      Eigen::Vector3f p(cloud.points[i].getVector3fMap());
      vs.push_back(p);
    }
    return vs;
  }

  // geoemtry classes

  std::vector<Plane::Ptr> convertToPlanes(
    std::vector<pcl::ModelCoefficients::Ptr>);

  template <class PointT>
  jsk_recognition_msgs::BoundingBox boundingBoxFromPointCloud(const pcl::PointCloud<PointT>& cloud)
  {
    Eigen::Vector4f minpt, maxpt;
    pcl::getMinMax3D<PointT>(cloud, minpt, maxpt);
    jsk_recognition_msgs::BoundingBox bbox;
    bbox.dimensions.x = std::abs(minpt[0] - maxpt[0]);
    bbox.dimensions.y = std::abs(minpt[1] - maxpt[1]);
    bbox.dimensions.z = std::abs(minpt[2] - maxpt[2]);
    bbox.pose.position.x = (minpt[0] + maxpt[0]) / 2.0;
    bbox.pose.position.y = (minpt[1] + maxpt[1]) / 2.0;
    bbox.pose.position.z = (minpt[2] + maxpt[2]) / 2.0;
    bbox.pose.orientation.w = 1.0;
    return bbox;
  }  
}

#endif