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/**
  \addtogroup visualization Module visualization

  \section secVisualizationPresentation Overview

  The <b>pcl_visualization</b> library was built for the purpose of being able to quickly prototype and visualize the
  results of algorithms operating on 3D point cloud data. Similar to OpenCV's <b>highgui</b> routines for displaying
  2D images and for drawing basic 2D shapes on screen, the library offers:

  <ul>
  <li> methods for rendering and setting visual properties (colors, point sizes, opacity, etc) for any n-D point cloud
       datasets in pcl::PointCloud<T> format;
       \image html http://www.pointclouds.org/documentation/overview/_images/bunny.jpg
  <li> methods for drawing basic 3D shapes on screen (e.g., cylinders, spheres,lines, polygons, etc) either from sets
       of points or from parametric equations;
       \image html http://www.pointclouds.org/documentation/overview/_images/shapes.jpg
  <li> a histogram visualization module (PCLHistogramVisualizer) for 2D plots;
       \image html http://www.pointclouds.org/documentation/overview/_images/histogram.jpg
  <li> a multitude of Geometry and Color handler for pcl::PointCloud<T> datasets;
       \image html http://www.pointclouds.org/documentation/overview/_images/normals.jpg
       \image html http://www.pointclouds.org/documentation/overview/_images/pcs.jpg
  <li> a pcl::RangeImage visualization module.
       \image html http://www.pointclouds.org/documentation/overview/_images/range_image.jpg
  </ul>

  The package makes use of the VTK library for 3D rendering for range image and 2D operations.

  For implementing your own visualizers, take a look at the tests and examples accompanying the library.

  \section secVisualizationRequirements Requirements
  - \ref common "common"
  - VTK
  - \ref io "io"
  - \ref kdtree "kdtree"
  - \ref pcl::RangeImage "RangeImage"

*/