Abstract
This paper investigates the segmentation algorithm
proposed by Felzenszwalb and Huttenlocher1 and its
compatibility to 3D point clouds acquired with
state-of-the-art 3D laser scanners. To use the
algorithm, we adapt the range and intensity data to
the smoothed graph structure used by the
algorithm. We investigate the influence of the
algorithm’s parameters to its performance and result
that are meaningful to both the machines and the
humans.
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