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00037 #ifndef PCL_DISTANCES_H_
00038 #define PCL_DISTANCES_H_
00039
00040 #include <pcl/common/common.h>
00041
00049 namespace pcl
00050 {
00058 PCL_EXPORTS void
00059 lineToLineSegment (const Eigen::VectorXf &line_a, const Eigen::VectorXf &line_b,
00060 Eigen::Vector4f &pt1_seg, Eigen::Vector4f &pt2_seg);
00061
00068 double inline
00069 sqrPointToLineDistance (const Eigen::Vector4f &pt, const Eigen::Vector4f &line_pt, const Eigen::Vector4f &line_dir)
00070 {
00071
00072
00073 return (line_dir.cross3 (line_pt - pt)).squaredNorm () / line_dir.squaredNorm ();
00074 }
00075
00084 double inline
00085 sqrPointToLineDistance (const Eigen::Vector4f &pt, const Eigen::Vector4f &line_pt, const Eigen::Vector4f &line_dir, const double sqr_length)
00086 {
00087
00088
00089 return (line_dir.cross3 (line_pt - pt)).squaredNorm () / sqr_length;
00090 }
00091
00099 template <typename PointT> double inline
00100 getMaxSegment (const pcl::PointCloud<PointT> &cloud,
00101 PointT &pmin, PointT &pmax)
00102 {
00103 double max_dist = std::numeric_limits<double>::min ();
00104 int i_min = -1, i_max = -1;
00105
00106 for (size_t i = 0; i < cloud.points.size (); ++i)
00107 {
00108 for (size_t j = i; j < cloud.points.size (); ++j)
00109 {
00110
00111 double dist = (cloud.points[i].getVector4fMap () -
00112 cloud.points[j].getVector4fMap ()).squaredNorm ();
00113 if (dist <= max_dist)
00114 continue;
00115
00116 max_dist = dist;
00117 i_min = i;
00118 i_max = j;
00119 }
00120 }
00121
00122 if (i_min == -1 || i_max == -1)
00123 return (max_dist = std::numeric_limits<double>::min ());
00124
00125 pmin = cloud.points[i_min];
00126 pmax = cloud.points[i_max];
00127 return (std::sqrt (max_dist));
00128 }
00129
00138 template <typename PointT> double inline
00139 getMaxSegment (const pcl::PointCloud<PointT> &cloud, const std::vector<int> &indices,
00140 PointT &pmin, PointT &pmax)
00141 {
00142 double max_dist = std::numeric_limits<double>::min ();
00143 int i_min = -1, i_max = -1;
00144
00145 for (size_t i = 0; i < indices.size (); ++i)
00146 {
00147 for (size_t j = i; j < indices.size (); ++j)
00148 {
00149
00150 double dist = (cloud.points[indices[i]].getVector4fMap () -
00151 cloud.points[indices[j]].getVector4fMap ()).squaredNorm ();
00152 if (dist <= max_dist)
00153 continue;
00154
00155 max_dist = dist;
00156 i_min = i;
00157 i_max = j;
00158 }
00159 }
00160
00161 if (i_min == -1 || i_max == -1)
00162 return (max_dist = std::numeric_limits<double>::min ());
00163
00164 pmin = cloud.points[indices[i_min]];
00165 pmax = cloud.points[indices[i_max]];
00166 return (std::sqrt (max_dist));
00167 }
00168
00173 template<typename PointType1, typename PointType2> inline float
00174 squaredEuclideanDistance (const PointType1& p1, const PointType2& p2)
00175 {
00176 float diff_x = p2.x - p1.x, diff_y = p2.y - p1.y, diff_z = p2.z - p1.z;
00177 return (diff_x*diff_x + diff_y*diff_y + diff_z*diff_z);
00178 }
00183 template<typename PointType1, typename PointType2> inline float
00184 euclideanDistance (const PointType1& p1, const PointType2& p2)
00185 {
00186 return (sqrtf (squaredEuclideanDistance (p1, p2)));
00187 }
00188 }
00189
00190 #endif //#ifndef PCL_DISTANCES_H_
00191