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2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR Point Clouds

  • Qian-Yi Zhou
  • Ulrich Neumann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6313)

Abstract

We present a robust approach to creating 2.5D building models from aerial LiDAR point clouds. The method is guaranteed to produce crack-free models composed of complex roofs and vertical walls connecting them. By extending classic dual contouring into a 2.5D method, we achieve a simultaneous optimization over the three dimensional surfaces and the two dimensional boundaries of roof layers. Thus, our method can generate building models with arbitrarily shaped roofs while keeping the verticality of connecting walls. An adaptive grid is introduced to simplify model geometry in an accurate manner. Sharp features are detected and preserved by a novel and efficient algorithm.

Keywords

Point Cloud Principal Direction Leaf Cell Input Point Boundary Polygon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Supplementary material

978-3-642-15558-1_9_MOESM1_ESM.mov (14.6 mb)
Electronic Supplementary Material (14,922 KB)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Qian-Yi Zhou
    • 1
  • Ulrich Neumann
    • 1
  1. 1.University of Southern California 

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