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Automatic Three-Dimensional Point Cloud Processing for Forest Inventory
journal contribution
posted on 2006-01-01, 00:00 authored by Jean-Francis Lalonde, Nicolas Vandapel, Martial HebertIn this paper, we propose an approach that enables automatic, fast and accurate tree
trunks segmentation from three-dimensional (3-D) laser data. Results have been demonstrated
in real-time on-board a ground mobile robot. In addition, we propose an approach
to estimate tree diameter at breast height (dbh) that was tested off-line on a
variety of ground laser scanner data. Results are also presented for detection of tree
trunks in aerial laser data. The underlying techniques using in all cases rely on 3-D
geometry analysis of point clouds and geometric primitives fitting.