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

A Method for Fast Search of Variable Regions on Dynamic 3D Point Clouds,10.1007/11550518_26,Eric Wahl,Gerd Hirzinger

A Method for Fast Search of Variable Regions on Dynamic 3D Point Clouds  
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The paper addresses the region search problem in three-dimensional (3D) space. The data used is a dynamically growing point cloud as it is typi- cally 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.
Conference: DAGM Symposium Symposium for Pattern Recognition , pp. 208-215, 2005
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