point_cloud_transformers.cpp

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/*
 * Copyright (c) 2010, Willow Garage, Inc.
 * All rights reserved.
 *
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 * modification, are permitted provided that the following conditions are met:
 *
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 *       notice, this list of conditions and the following disclaimer.
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 *       contributors may be used to endorse or promote products derived from
 *       this software without specific prior written permission.
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 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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#include <OgreColourValue.h>
#include <OgreMatrix4.h>
#include <OgreVector3.h>

#include "rviz/properties/bool_property.h"
#include "rviz/properties/color_property.h"
#include "rviz/properties/editable_enum_property.h"
#include "rviz/properties/enum_property.h"
#include "rviz/properties/float_property.h"
#include "rviz/validate_floats.h"

#include "point_cloud_transformers.h"

namespace rviz
{

static void getRainbowColor(float value, Ogre::ColourValue& color)
{
  // this is HSV color palette with hue values going only from 0.0 to 0.833333.
  
  value = std::min(value, 1.0f);
  value = std::max(value, 0.0f);

  float h = value * 5.0f + 1.0f;
  int i = floor(h);
  float f = h - i;
  if ( !(i&1) ) f = 1 - f; // if i is even
  float n = 1 - f;

  if      (i <= 1) color[0] = n, color[1] = 0, color[2] = 1;
  else if (i == 2) color[0] = 0, color[1] = n, color[2] = 1;
  else if (i == 3) color[0] = 0, color[1] = 1, color[2] = n;
  else if (i == 4) color[0] = n, color[1] = 1, color[2] = 0;
  else if (i >= 5) color[0] = 1, color[1] = n, color[2] = 0;
}

uint8_t IntensityPCTransformer::supports(const sensor_msgs::PointCloud2ConstPtr& cloud)
{
  updateChannels(cloud);
  return Support_Color;
}

uint8_t IntensityPCTransformer::score(const sensor_msgs::PointCloud2ConstPtr& cloud)
{
  return 255;
}

bool IntensityPCTransformer::transform( const sensor_msgs::PointCloud2ConstPtr& cloud,
                                        uint32_t mask,
                                        const Ogre::Matrix4& transform,
                                        V_PointCloudPoint& points_out )
{
  if( !( mask & Support_Color ))
  {
    return false;
  }

  int32_t index = findChannelIndex( cloud, channel_name_property_->getStdString() );

  if( index == -1 )
  {
    if( channel_name_property_->getStdString() == "intensity" )
    {
      index = findChannelIndex( cloud, "intensities" );
      if( index == -1 )
      {
        return false;
      }
    }
    else
    {
      return false;
    }
  }

  const uint32_t offset = cloud->fields[index].offset;
  const uint8_t type = cloud->fields[index].datatype;
  const uint32_t point_step = cloud->point_step;
  const uint32_t num_points = cloud->width * cloud->height;

  float min_intensity = 999999.0f;
  float max_intensity = -999999.0f;
  if( auto_compute_intensity_bounds_property_->getBool() )
  {
    for( uint32_t i = 0; i < num_points; ++i )
    {
      float val = valueFromCloud<float>(cloud, offset, type, point_step, i);
      min_intensity = std::min(val, min_intensity);
      max_intensity = std::max(val, max_intensity);
    }

    min_intensity = std::max(-999999.0f, min_intensity);
    max_intensity = std::min(999999.0f, max_intensity);
    min_intensity_property_->setFloat( min_intensity );
    max_intensity_property_->setFloat( max_intensity );
  }
  else
  {
    min_intensity = min_intensity_property_->getFloat();
    max_intensity = max_intensity_property_->getFloat();
  }
  float diff_intensity = max_intensity - min_intensity;
  if( diff_intensity == 0 )
  {
    // If min and max are equal, set the diff to something huge so
    // when we divide by it, we effectively get zero.  That way the
    // point cloud coloring will be predictably uniform when min and
    // max are equal.
    diff_intensity = 1e20;
  }
  Ogre::ColourValue max_color = max_color_property_->getOgreColor();
  Ogre::ColourValue min_color = min_color_property_->getOgreColor();

  if( use_rainbow_property_->getBool() )
  {
    for (uint32_t i = 0; i < num_points; ++i)
    {
      float val = valueFromCloud<float>(cloud, offset, type, point_step, i);
      float value = 1.0 - (val - min_intensity)/diff_intensity;
      if(invert_rainbow_property_->getBool() ){
        value = 1.0 - value;
      }
      getRainbowColor(value, points_out[i].color);
    }
  }
  else
  {
    for (uint32_t i = 0; i < num_points; ++i)
    {
      float val = valueFromCloud<float>(cloud, offset, type, point_step, i);
      float normalized_intensity = ( val - min_intensity ) / diff_intensity;
      normalized_intensity = std::min(1.0f, std::max(0.0f, normalized_intensity));
      points_out[i].color.r = max_color.r * normalized_intensity + min_color.r * (1.0f - normalized_intensity);
      points_out[i].color.g = max_color.g * normalized_intensity + min_color.g * (1.0f - normalized_intensity);
      points_out[i].color.b = max_color.b * normalized_intensity + min_color.b * (1.0f - normalized_intensity);
    }
  }

  return true;
}

void IntensityPCTransformer::createProperties( Property* parent_property, uint32_t mask, QList<Property*>& out_props )
{
  if( mask & Support_Color )
  {
    channel_name_property_ = new EditableEnumProperty( "Channel Name", "intensity",
                                                       "Select the channel to use to compute the intensity",
                                                       parent_property, SIGNAL( needRetransform() ), this );

    use_rainbow_property_ = new BoolProperty( "Use rainbow", true,
                                              "Whether to use a rainbow of colors or interpolate between two",
                                              parent_property, SLOT( updateUseRainbow() ), this );
    invert_rainbow_property_ = new BoolProperty( "Invert Rainbow", false,
                                              "Whether to invert rainbow colors",
                                              parent_property, SLOT( updateUseRainbow() ), this );

    min_color_property_ = new ColorProperty( "Min Color", Qt::black,
                                             "Color to assign the points with the minimum intensity.  "
                                             "Actual color is interpolated between this and Max Color.",
                                             parent_property, SIGNAL( needRetransform() ), this );

    max_color_property_ = new ColorProperty( "Max Color", Qt::white,
                                             "Color to assign the points with the maximum intensity.  "
                                             "Actual color is interpolated between this and Min Color.",
                                             parent_property, SIGNAL( needRetransform() ), this );

    auto_compute_intensity_bounds_property_ = new BoolProperty( "Autocompute Intensity Bounds", true,
                                                                "Whether to automatically compute the intensity min/max values.",
                                                                parent_property, SLOT( updateAutoComputeIntensityBounds() ), this );

    min_intensity_property_ = new FloatProperty( "Min Intensity", 0,
                                                 "Minimum possible intensity value, used to interpolate from Min Color to Max Color for a point.",
                                                 parent_property );

    max_intensity_property_ = new FloatProperty( "Max Intensity", 4096,
                                                 "Maximum possible intensity value, used to interpolate from Min Color to Max Color for a point.",
                                                 parent_property );

    out_props.push_back( channel_name_property_ );
    out_props.push_back( use_rainbow_property_ );
    out_props.push_back( invert_rainbow_property_ );
    out_props.push_back( min_color_property_ );
    out_props.push_back( max_color_property_ );
    out_props.push_back( auto_compute_intensity_bounds_property_ );
    out_props.push_back( min_intensity_property_ );
    out_props.push_back( max_intensity_property_ );

    updateUseRainbow();
    updateAutoComputeIntensityBounds();
  }
}

void IntensityPCTransformer::updateChannels( const sensor_msgs::PointCloud2ConstPtr& cloud )
{
  V_string channels;
  for(size_t i = 0; i < cloud->fields.size(); ++i )
  {
    channels.push_back(cloud->fields[i].name );
  }
  std::sort(channels.begin(), channels.end());

  if( channels != available_channels_ )
  {
    channel_name_property_->clearOptions();
    for( V_string::const_iterator it = channels.begin(); it != channels.end(); ++it )
    {
      const std::string& channel = *it;
      if( channel.empty() )
      {
        continue;
      }
      channel_name_property_->addOptionStd( channel );
    }
    available_channels_ = channels;
  }
}

void IntensityPCTransformer::updateAutoComputeIntensityBounds()
{
  bool auto_compute = auto_compute_intensity_bounds_property_->getBool();
  min_intensity_property_->setHidden( auto_compute );
  max_intensity_property_->setHidden( auto_compute );
  if( auto_compute )
  {
    disconnect( min_intensity_property_, SIGNAL( changed() ), this, SIGNAL( needRetransform() ));
    disconnect( max_intensity_property_, SIGNAL( changed() ), this, SIGNAL( needRetransform() ));
  }
  else
  {
    connect( min_intensity_property_, SIGNAL( changed() ), this, SIGNAL( needRetransform() ));
    connect( max_intensity_property_, SIGNAL( changed() ), this, SIGNAL( needRetransform() ));
  }
  Q_EMIT needRetransform();
}

void IntensityPCTransformer::updateUseRainbow()
{
  bool use_rainbow = use_rainbow_property_->getBool();
  invert_rainbow_property_->setHidden( !use_rainbow );
  min_color_property_->setHidden( use_rainbow );
  max_color_property_->setHidden( use_rainbow );
  Q_EMIT needRetransform();
}

uint8_t XYZPCTransformer::supports(const sensor_msgs::PointCloud2ConstPtr& cloud)
{
  int32_t xi = findChannelIndex(cloud, "x");
  int32_t yi = findChannelIndex(cloud, "y");
  int32_t zi = findChannelIndex(cloud, "z");

  if (xi == -1 || yi == -1 || zi == -1)
  {
    return Support_None;
  }

  if (cloud->fields[xi].datatype == sensor_msgs::PointField::FLOAT32)
  {
    return Support_XYZ;
  }

  return Support_None;
}

bool XYZPCTransformer::transform(const sensor_msgs::PointCloud2ConstPtr& cloud, uint32_t mask, const Ogre::Matrix4& transform, V_PointCloudPoint& points_out)
{
  if (!(mask & Support_XYZ))
  {
    return false;
  }

  int32_t xi = findChannelIndex(cloud, "x");
  int32_t yi = findChannelIndex(cloud, "y");
  int32_t zi = findChannelIndex(cloud, "z");

  const uint32_t xoff = cloud->fields[xi].offset;
  const uint32_t yoff = cloud->fields[yi].offset;
  const uint32_t zoff = cloud->fields[zi].offset;
  const uint32_t point_step = cloud->point_step;
  const uint32_t num_points = cloud->width * cloud->height;
  uint8_t const* point_x = &cloud->data.front() + xoff;
  uint8_t const* point_y = &cloud->data.front() + yoff;
  uint8_t const* point_z = &cloud->data.front() + zoff;
  for (V_PointCloudPoint::iterator iter = points_out.begin(); iter != points_out.end(); ++iter, point_x += point_step,
    point_y += point_step, point_z += point_step)
  {
    iter->position.x = *reinterpret_cast<const float*>(point_x);
    iter->position.y = *reinterpret_cast<const float*>(point_y);
    iter->position.z = *reinterpret_cast<const float*>(point_z);
  }

  return true;
}

uint8_t RGB8PCTransformer::supports(const sensor_msgs::PointCloud2ConstPtr& cloud)
{
  int32_t index = std::max(findChannelIndex(cloud, "rgb"), findChannelIndex(cloud, "rgba"));
  if (index == -1)
  {
    return Support_None;
  }

  if (cloud->fields[index].datatype == sensor_msgs::PointField::INT32 ||
      cloud->fields[index].datatype == sensor_msgs::PointField::UINT32 ||
      cloud->fields[index].datatype == sensor_msgs::PointField::FLOAT32)
  {
    return Support_Color;
  }

  return Support_None;
}

bool RGB8PCTransformer::transform(const sensor_msgs::PointCloud2ConstPtr& cloud, uint32_t mask, const Ogre::Matrix4& transform, V_PointCloudPoint& points_out)
{
  if (!(mask & Support_Color))
  {
    return false;
  }

  const int32_t rgb  = findChannelIndex(cloud, "rgb");
  const int32_t rgba = findChannelIndex(cloud, "rgba");
  const int32_t index = std::max(rgb, rgba);

  const uint32_t off = cloud->fields[index].offset;
  uint8_t const* rgb_ptr = &cloud->data.front() + off;
  const uint32_t point_step = cloud->point_step;

  // Create a look-up table for colors
  float rgb_lut[256];
  for(int i = 0; i < 256; ++i)
  {
    rgb_lut[i] = float(i)/255.0f;
  }
  if (rgb != -1) // rgb
  {
    for (V_PointCloudPoint::iterator iter = points_out.begin(); iter != points_out.end(); ++iter, rgb_ptr += point_step)
    {
      uint32_t rgb = *reinterpret_cast<const uint32_t*>(rgb_ptr);
      iter->color.r = rgb_lut[(rgb >> 16) & 0xff];
      iter->color.g = rgb_lut[(rgb >> 8) & 0xff];
      iter->color.b = rgb_lut[rgb & 0xff];
      iter->color.a = 1.0f;
    }
  }
  else // rgba
  {
    for (V_PointCloudPoint::iterator iter = points_out.begin(); iter != points_out.end(); ++iter, rgb_ptr += point_step)
    {
      uint32_t rgb = *reinterpret_cast<const uint32_t*>(rgb_ptr);
      iter->color.r = rgb_lut[(rgb >> 16) & 0xff];
      iter->color.g = rgb_lut[(rgb >> 8) & 0xff];
      iter->color.b = rgb_lut[rgb & 0xff];
      iter->color.a = rgb_lut[rgb >> 24];
    }
  }

  return true;
}

bool MONO8PCTransformer::transform(const sensor_msgs::PointCloud2ConstPtr& cloud, uint32_t mask, const Ogre::Matrix4& transform, V_PointCloudPoint& points_out)
{
  if (!(mask & Support_Color))
  {
    return false;
  }

  const int32_t rgb  = findChannelIndex(cloud, "rgb");
  const int32_t rgba = findChannelIndex(cloud, "rgba");
  const int32_t index = std::max(rgb, rgba);

  const uint32_t off = cloud->fields[index].offset;
  uint8_t const* rgb_ptr = &cloud->data.front() + off;
  const uint32_t point_step = cloud->point_step;

  // Create a look-up table for colors
  float rgb_lut[256];
  for(int i = 0; i < 256; ++i)
  {
    rgb_lut[i] = float(i)/255.0f;
  }
  if (rgb != -1) // rgb
  {
    for (V_PointCloudPoint::iterator iter = points_out.begin(); iter != points_out.end(); ++iter, rgb_ptr += point_step)
    {
      uint32_t rgb = *reinterpret_cast<const uint32_t*>(rgb_ptr);
      float r = rgb_lut[(rgb >> 16) & 0xff];
      float g = rgb_lut[(rgb >> 8) & 0xff];
      float b = rgb_lut[rgb & 0xff];
      float mono = 0.2989 * r + 0.5870 * g + 0.1140 * b;
      iter->color.r = iter->color.g = iter->color.b = mono;
      iter->color.a = 1.0f;
    }
  }
  else // rgba
  {
    for (V_PointCloudPoint::iterator iter = points_out.begin(); iter != points_out.end(); ++iter, rgb_ptr += point_step)
    {
      uint32_t rgb = *reinterpret_cast<const uint32_t*>(rgb_ptr);
      float r = rgb_lut[(rgb >> 16) & 0xff];
      float g = rgb_lut[(rgb >> 8) & 0xff];
      float b = rgb_lut[rgb & 0xff];
      float mono = 0.2989 * r + 0.5870 * g + 0.1140 * b;
      iter->color.r = iter->color.g = iter->color.b = mono;
      iter->color.a = rgb_lut[rgb >> 24];
    }
  }

  return true;
}

uint8_t RGBF32PCTransformer::supports(const sensor_msgs::PointCloud2ConstPtr& cloud)
{
  int32_t ri = findChannelIndex(cloud, "r");
  int32_t gi = findChannelIndex(cloud, "g");
  int32_t bi = findChannelIndex(cloud, "b");
  if (ri == -1 || gi == -1 || bi == -1)
  {
    return Support_None;
  }

  if (cloud->fields[ri].datatype == sensor_msgs::PointField::FLOAT32)
  {
    return Support_Color;
  }

  return Support_None;
}

bool RGBF32PCTransformer::transform(const sensor_msgs::PointCloud2ConstPtr& cloud, uint32_t mask, const Ogre::Matrix4& transform, V_PointCloudPoint& points_out)
{
  if (!(mask & Support_Color))
  {
    return false;
  }

  int32_t ri = findChannelIndex(cloud, "r");
  int32_t gi = findChannelIndex(cloud, "g");
  int32_t bi = findChannelIndex(cloud, "b");

  const uint32_t roff = cloud->fields[ri].offset;
  const uint32_t goff = cloud->fields[gi].offset;
  const uint32_t boff = cloud->fields[bi].offset;
  const uint32_t point_step = cloud->point_step;
  const uint32_t num_points = cloud->width * cloud->height;
  uint8_t const* point = &cloud->data.front();
  for (uint32_t i = 0; i < num_points; ++i, point += point_step)
  {
    float r = *reinterpret_cast<const float*>(point + roff);
    float g = *reinterpret_cast<const float*>(point + goff);
    float b = *reinterpret_cast<const float*>(point + boff);
    points_out[i].color = Ogre::ColourValue(r, g, b);
  }

  return true;
}

uint8_t FlatColorPCTransformer::supports(const sensor_msgs::PointCloud2ConstPtr& cloud)
{
  return Support_Color;
}

uint8_t FlatColorPCTransformer::score(const sensor_msgs::PointCloud2ConstPtr& cloud)
{
  return 0;
}

bool FlatColorPCTransformer::transform( const sensor_msgs::PointCloud2ConstPtr& cloud,
                                        uint32_t mask,
                                        const Ogre::Matrix4& transform,
                                        V_PointCloudPoint& points_out )
{
  if( !( mask & Support_Color ))
  {
    return false;
  }

  Ogre::ColourValue color = color_property_->getOgreColor();

  const uint32_t num_points = cloud->width * cloud->height;
  for( uint32_t i = 0; i < num_points; ++i )
  {
    points_out[i].color = color;
  }

  return true;
}

void FlatColorPCTransformer::createProperties( Property* parent_property, uint32_t mask, QList<Property*>& out_props )
{
  if( mask & Support_Color )
  {
    color_property_ = new ColorProperty( "Color", Qt::white,
                                         "Color to assign to every point.",
                                         parent_property, SIGNAL( needRetransform() ), this );
    out_props.push_back( color_property_ );
  }
}

uint8_t AxisColorPCTransformer::supports(const sensor_msgs::PointCloud2ConstPtr& cloud)
{
  return Support_Color;
}

uint8_t AxisColorPCTransformer::score(const sensor_msgs::PointCloud2ConstPtr& cloud)
{
  return 255;
}

bool AxisColorPCTransformer::transform( const sensor_msgs::PointCloud2ConstPtr& cloud,
                                        uint32_t mask,
                                        const Ogre::Matrix4& transform,
                                        V_PointCloudPoint& points_out )
{
  if( !( mask & Support_Color ))
  {
    return false;
  }

  int32_t xi = findChannelIndex( cloud, "x" );
  int32_t yi = findChannelIndex( cloud, "y" );
  int32_t zi = findChannelIndex( cloud, "z" );

  const uint32_t xoff = cloud->fields[xi].offset;
  const uint32_t yoff = cloud->fields[yi].offset;
  const uint32_t zoff = cloud->fields[zi].offset;
  const uint32_t point_step = cloud->point_step;
  const uint32_t num_points = cloud->width * cloud->height;
  uint8_t const* point = &cloud->data.front();

  // Fill a vector of floats with values based on the chosen axis.
  int axis = axis_property_->getOptionInt();
  std::vector<float> values;
  values.reserve( num_points );
  Ogre::Vector3 pos;
  if( use_fixed_frame_property_->getBool() )
  {
    for (uint32_t i = 0; i < num_points; ++i, point += point_step)
    {
      // TODO: optimize this by only doing the multiplication needed
      // for the desired output value, instead of doing all of them
      // and then throwing most away.
      pos.x = *reinterpret_cast<const float*>(point + xoff);
      pos.y = *reinterpret_cast<const float*>(point + yoff);
      pos.z = *reinterpret_cast<const float*>(point + zoff);

      pos = transform * pos;
      values.push_back( pos[ axis ]);
    }
  }
  else
  {
    const uint32_t offsets[ 3 ] = { xoff, yoff, zoff };
    const uint32_t off = offsets[ axis ];
    for (uint32_t i = 0; i < num_points; ++i, point += point_step)
    {
      values.push_back( *reinterpret_cast<const float*>( point + off ));
    }
  }
  float min_value_current = 9999.0f;
  float max_value_current = -9999.0f;
  if( auto_compute_bounds_property_->getBool() )
  {
    for( uint32_t i = 0; i < num_points; i++ )
    {
      float val = values[ i ];
      min_value_current = std::min( min_value_current, val );
      max_value_current = std::max( max_value_current, val );
    }
    min_value_property_->setFloat( min_value_current );
    max_value_property_->setFloat( max_value_current );
  }
  else
  {
    min_value_current = min_value_property_->getFloat();
    max_value_current = max_value_property_->getFloat();
  }

  float range = max_value_current - min_value_current;
  if( range == 0 )
  {
    range = 0.001f;
  }
  for( uint32_t i = 0; i < num_points; ++i )
  {
    float value = 1.0 - ( values[ i ] - min_value_current ) / range;
    getRainbowColor( value, points_out[i].color );
  }

  return true;
}

void AxisColorPCTransformer::createProperties( Property* parent_property, uint32_t mask, QList<Property*>& out_props )
{
  if( mask & Support_Color )
  {
    axis_property_ = new EnumProperty( "Axis", "Z",
                                       "The axis to interpolate the color along.",
                                       parent_property, SIGNAL( needRetransform() ), this );
    axis_property_->addOption( "X", AXIS_X );
    axis_property_->addOption( "Y", AXIS_Y );
    axis_property_->addOption( "Z", AXIS_Z );

    auto_compute_bounds_property_ = new BoolProperty( "Autocompute Value Bounds", true,
                                                      "Whether to automatically compute the value min/max values.",
                                                      parent_property, SLOT( updateAutoComputeBounds() ), this );

    min_value_property_ = new FloatProperty( "Min Value", -10,
                                             "Minimum value value, used to interpolate the color of a point.",
                                             auto_compute_bounds_property_ );

    max_value_property_ = new FloatProperty( "Max Value", 10,
                                             "Maximum value value, used to interpolate the color of a point.",
                                             auto_compute_bounds_property_ );

    use_fixed_frame_property_ = new BoolProperty( "Use Fixed Frame", true,
                                                  "Whether to color the cloud based on its fixed frame position or its local frame position.",
                                                  parent_property, SIGNAL( needRetransform() ), this );

    out_props.push_back( axis_property_ );
    out_props.push_back( auto_compute_bounds_property_ );
    out_props.push_back( use_fixed_frame_property_ );

    updateAutoComputeBounds();
  }
}

void AxisColorPCTransformer::updateAutoComputeBounds()
{
  bool auto_compute = auto_compute_bounds_property_->getBool();
  min_value_property_->setHidden( auto_compute );
  max_value_property_->setHidden( auto_compute );
  if( auto_compute )
  {
    disconnect( min_value_property_, SIGNAL( changed() ), this, SIGNAL( needRetransform() ));
    disconnect( max_value_property_, SIGNAL( changed() ), this, SIGNAL( needRetransform() ));
  }
  else
  {
    connect( min_value_property_, SIGNAL( changed() ), this, SIGNAL( needRetransform() ));
    connect( max_value_property_, SIGNAL( changed() ), this, SIGNAL( needRetransform() ));
    auto_compute_bounds_property_->expand();
  }
  Q_EMIT needRetransform();
}

} // end namespace rviz

#include <pluginlib/class_list_macros.hpp>
PLUGINLIB_EXPORT_CLASS( rviz::AxisColorPCTransformer, rviz::PointCloudTransformer )
PLUGINLIB_EXPORT_CLASS( rviz::FlatColorPCTransformer, rviz::PointCloudTransformer )
PLUGINLIB_EXPORT_CLASS( rviz::IntensityPCTransformer, rviz::PointCloudTransformer )
PLUGINLIB_EXPORT_CLASS(      rviz::RGB8PCTransformer,      rviz::PointCloudTransformer )
PLUGINLIB_EXPORT_CLASS(      rviz::MONO8PCTransformer,      rviz::PointCloudTransformer )
PLUGINLIB_EXPORT_CLASS(    rviz::RGBF32PCTransformer,    rviz::PointCloudTransformer )
PLUGINLIB_EXPORT_CLASS(       rviz::XYZPCTransformer,       rviz::PointCloudTransformer )