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00034 #ifndef DEPTH_IMAGE_PROC_DEPTH_CONVERSIONS
00035 #define DEPTH_IMAGE_PROC_DEPTH_CONVERSIONS
00036
00037 #include <sensor_msgs/Image.h>
00038 #include <sensor_msgs/point_cloud2_iterator.h>
00039 #include <image_geometry/pinhole_camera_model.h>
00040 #include <depth_image_proc/depth_traits.h>
00041
00042 #include <limits>
00043
00044 namespace depth_image_proc {
00045
00046 typedef sensor_msgs::PointCloud2 PointCloud;
00047
00048
00049 template<typename T>
00050 void convert(
00051 const sensor_msgs::ImageConstPtr& depth_msg,
00052 PointCloud::Ptr& cloud_msg,
00053 const image_geometry::PinholeCameraModel& model,
00054 double range_max = 0.0)
00055 {
00056
00057 float center_x = model.cx();
00058 float center_y = model.cy();
00059
00060
00061 double unit_scaling = DepthTraits<T>::toMeters( T(1) );
00062 float constant_x = unit_scaling / model.fx();
00063 float constant_y = unit_scaling / model.fy();
00064 float bad_point = std::numeric_limits<float>::quiet_NaN();
00065
00066 sensor_msgs::PointCloud2Iterator<float> iter_x(*cloud_msg, "x");
00067 sensor_msgs::PointCloud2Iterator<float> iter_y(*cloud_msg, "y");
00068 sensor_msgs::PointCloud2Iterator<float> iter_z(*cloud_msg, "z");
00069 const T* depth_row = reinterpret_cast<const T*>(&depth_msg->data[0]);
00070 int row_step = depth_msg->step / sizeof(T);
00071 for (int v = 0; v < (int)cloud_msg->height; ++v, depth_row += row_step)
00072 {
00073 for (int u = 0; u < (int)cloud_msg->width; ++u, ++iter_x, ++iter_y, ++iter_z)
00074 {
00075 T depth = depth_row[u];
00076
00077
00078 if (!DepthTraits<T>::valid(depth))
00079 {
00080 if (range_max != 0.0)
00081 {
00082 depth = DepthTraits<T>::fromMeters(range_max);
00083 }
00084 else
00085 {
00086 *iter_x = *iter_y = *iter_z = bad_point;
00087 continue;
00088 }
00089 }
00090
00091
00092 *iter_x = (u - center_x) * depth * constant_x;
00093 *iter_y = (v - center_y) * depth * constant_y;
00094 *iter_z = DepthTraits<T>::toMeters(depth);
00095 }
00096 }
00097 }
00098
00099 }
00100
00101 #endif