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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"
*/
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