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Basically, I'm looking for a library or SDK for handling large point clouds coming from LIDAR or scanners, typically running into many millions of points of X,Y,Z,Colour. What I'm after are as follows;
Fast display, zooming, panning Point cloud registration Fast low level access to the data Regression of surfaces and solids (not as important as the others)
While I don't mind paying for a reasonable commercial library, I'm not interested in a very expensive library (e.g. in excess of about $5k) or one with a per user run-time license cost. Open source would also be good. I found a few possibilities via google, but they all tend to be too expensive for my budget.
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The Point Cloud Library (PCL) is an open-source library of algorithms for point cloud processing tasks and 3D geometry processing, such as occur in three-dimensional computer vision.
A Point Cloud is a 3D visualization made up of thousands or even millions of georeferenced points. Point clouds provide high-resolution data without the distortion sometimes present in 3D mesh models and are commonly used in industry-standard software.
Check Point Cloud Library (PCL). It is quite a complete toolkit for processing and manipulating point clouds. It also provides tools for point clouds visualisation: pcl::visualization::CloudViewer which makes use of VTK library and wxWidgets
Since 2011, point clout translation (read/write) and manipulating toolkit has been developed: PDAL - Point Data Abstraction Library
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