A skeleton-based tetrahedron matching algorithm achieves faster and more accurate alignment of single-tree LiDAR scans than ICP and NDT on eight test trees.
Deriving merchantable volume in poplar through a localized tapering function from non-destructive terrestrial laser scanning,
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Automatic marker-free registration based on similar tetrahedras for single-tree point clouds
A skeleton-based tetrahedron matching algorithm achieves faster and more accurate alignment of single-tree LiDAR scans than ICP and NDT on eight test trees.