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Handling huge point cloud datasets
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IMInspect now has the ability to handle huge datasets consisting of hundreds of
millions of data points on standard 32-bit computers.
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The methodology consists in managing the point clouds by using grid cells
uniformly distributed along the XY plane.
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As all the points cannot be kept in physical memory simultaneously, incoming
point cloud files are read scan by scan, and points are relocated into their
respective cells and written back to disk.
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IMInspect builds coarse representations of the cells as they are being updated.
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Once all points have been imported, users may then manage the visualization of
these points through a grid cell manager that prevents the exhaustion of
physical memory.
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