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Creating a graphical user interface (GUI) for point cloud visualization can be done using various programming languages and libraries. Some popular options include:

Python and the library VTK (Visualization Toolkit) can be used to create a GUI for point cloud visualization. VTK provides a wide range of visualization tools and can be easily integrated with other libraries such as NumPy and SciPy.

C++ and the library PCL (Point Cloud Library) can also be used to create a GUI for point cloud visualization. PCL provides a set of algorithms for point cloud processing and can be integrated with libraries such as OpenCV for image processing.

JavaScript and WebGL can be used to create a web-based GUI for point cloud visualization. WebGL is a JavaScript API for rendering interactive 3D graphics and can be used in combination with libraries such as Three.js to create a browser-based point cloud visualization.

Unity, Unreal Engine, and other game engines can be used to create a GUI for point cloud visualization with interactive elements and augmented reality features.

It's important to note that creating a GUI for point cloud visualization can be complex and requires a good understanding of programming and 3D graphics.