Shape Recognition in 3D Point Clouds

Universität Bonn, Technical Report number CG-2007-1, Mai 2007
 

Abstract

Currently, tasks as basic as selecting all windows in a 3D laser scan of a house require a disproportional amount of user interaction. We present a flexible framework for the rapid detection of such semantically motivated shapes in large point clouds. Semantic entities are represented as constrained graphs that describe configurations of primitive shapes. Experimental results in various scenarios related to the architectural domain demonstrate the feasibility of the approach.

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Bibtex

@TECHREPORT{cg-2007-1,
       author = {Schnabel, Ruwen and Wahl, Roland and Wessel, Raoul and Klein, Reinhard},
        title = {Shape Recognition in 3D Point Clouds},
       number = {CG-2007-1},
         year = {2007},
        month = may,
  institution = {Universit{\"a}t Bonn},
     abstract = {Currently, tasks as basic as selecting all windows in a 3D laser scan of 
                 a house require a disproportional amount of user interaction. We present 
                 a flexible framework for the rapid detection of such semantically 
                 motivated shapes in large point clouds. Semantic entities are 
                 represented as constrained graphs that describe configurations of 
                 primitive shapes. Experimental results in various scenarios related to 
                 the architectural domain demonstrate the feasibility of the approach.},
         issn = {1610-8892}
}