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DAGM
2005
Springer

A Method for Fast Search of Variable Regions on Dynamic 3D Point Clouds

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A Method for Fast Search of Variable Regions on Dynamic 3D Point Clouds
The paper addresses the region search problem in three-dimensional (3D) space. The data used is a dynamically growing point cloud as it is typically gathered with a 3D-sensing device like a laser range-scanner. An encoding of space in combination with a new region search algorithm is introduced. The algorithm allows for fast access to spherical subsets of variable size. An octree based and a balanced binary tree based implementation are discussed. Finally, experiments concerning processing time are shown.
Eric Wahl, Gerd Hirzinger
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where DAGM
Authors Eric Wahl, Gerd Hirzinger
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