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IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, MANUSCRIPT ID 1 Automatic Extraction of Manhattan-World
 

Summary: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, MANUSCRIPT ID 1
Automatic Extraction of Manhattan-World
Building Masses from 3D Laser Range Scans
Carlos A. Vanegas, Member, IEEE Computer Society,
Daniel G. Aliaga, Member, IEEE Computer Society,
and Bedrich Benes, Member, IEEE Computer Society
Abstract--We propose a novel approach for the reconstruction of urban structures from 3D point clouds with an assumption
of Manhattan World (MW) building geometry; i.e., the predominance of three mutually orthogonal directions in the scene. Our
approach works in two-steps. First, the input points are classified according to the MW assumption into four local shape types:
walls, edges, corners, and edge-corners. The classified points are organized into a connected set of clusters from which a
volume description is extracted. The MW assumption allows us to robustly identify the fundamental shape types, describe the
volumes within the bounding box, and reconstruct visible and occluded parts of the sampled structure. We show results of our
reconstruction that has been applied to several synthetic and real-world 3D point datasets of various densities and from multiple
viewpoints. Our method automatically reconstructs 3D building models from up to 10 million points in 10 to 60 seconds.
Index Terms--3D Modeling, 3D Reconstruction, Laser Scans, Buildings, Manhattan World
!
1 INTRODUCTION
AUTOMATIC reconstruction of urban structures
has attracted the attention of researchers from
many different areas and it has found its way into

  

Source: Aliaga, Daniel G. - Department of Computer Sciences, Purdue University

 

Collections: Computer Technologies and Information Sciences