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rgb_plane_coefficient_comparator.h
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39 
40 #ifndef PCL_RGB_SEGMENTATION_PLANE_COEFFICIENT_COMPARATOR_H_
41 #define PCL_RGB_SEGMENTATION_PLANE_COEFFICIENT_COMPARATOR_H_
42 
44 #include <boost/make_shared.hpp>
45 
46 namespace pcl
47 {
54  template<typename PointT, typename PointNT>
56  {
57  public:
60 
62  typedef typename PointCloudN::Ptr PointCloudNPtr;
64 
65  typedef boost::shared_ptr<RGBPlaneCoefficientComparator<PointT, PointNT> > Ptr;
66  typedef boost::shared_ptr<const RGBPlaneCoefficientComparator<PointT, PointNT> > ConstPtr;
67 
72 
75  : color_threshold_ (50.0f)
76  {
77  }
78 
82  RGBPlaneCoefficientComparator (boost::shared_ptr<std::vector<float> >& plane_coeff_d)
83  : PlaneCoefficientComparator<PointT, PointNT> (plane_coeff_d), color_threshold_ (50.0f)
84  {
85  }
86 
88  virtual
90  {
91  }
92 
96  inline void
97  setColorThreshold (float color_threshold)
98  {
99  color_threshold_ = color_threshold * color_threshold;
100  }
101 
103  inline float
105  {
106  return (color_threshold_);
107  }
108 
113  bool
114  compare (int idx1, int idx2) const
115  {
116  float dx = input_->points[idx1].x - input_->points[idx2].x;
117  float dy = input_->points[idx1].y - input_->points[idx2].y;
118  float dz = input_->points[idx1].z - input_->points[idx2].z;
119  float dist = sqrtf (dx*dx + dy*dy + dz*dz);
120  int dr = input_->points[idx1].r - input_->points[idx2].r;
121  int dg = input_->points[idx1].g - input_->points[idx2].g;
122  int db = input_->points[idx1].b - input_->points[idx2].b;
123  //Note: This is not the best metric for color comparisons, we should probably use HSV space.
124  float color_dist = static_cast<float> (dr*dr + dg*dg + db*db);
125  return ( (dist < distance_threshold_)
126  && (normals_->points[idx1].getNormalVector3fMap ().dot (normals_->points[idx2].getNormalVector3fMap () ) > angular_threshold_ )
127  && (color_dist < color_threshold_));
128  }
129 
130  protected:
131  float color_threshold_;
132  };
133 }
134 
135 #endif // PCL_SEGMENTATION_PLANE_COEFFICIENT_COMPARATOR_H_