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Symmetry detection in large scale city scans

Kerber, Jens and Bokeloh, Martin and Wand, Michael and Seidel, Hans-Peter

April 2012, 32 pages.

Status: available - back from printing

In this report we present a novel method for detecting partial symmetries in very large point clouds of 3D city scans. Unlike previous work, which was limited to data sets of a few hundred megabytes maximum, our method scales to very large scenes. We map the detection problem to a nearestneighbor search in a low-dimensional feature space, followed by a cascade of tests for geometric clustering of potential matches. Our algorithm robustly handles noisy real-world scanner data, obtaining a recognition performance comparable to state-of-the-art methods. In practice, it scales linearly with the scene size and achieves a high absolute throughput, processing half a terabyte of raw scanner data over night on a dual socket commodity PC.

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  AUTHOR = {Kerber, Jens and Bokeloh, Martin and Wand, Michael and Seidel, Hans-Peter},
  TITLE = {Symmetry detection in large scale city scans},
  TYPE = {Research Report},
  INSTITUTION = {Max-Planck-Institut f{\"u}r Informatik},
  ADDRESS = {Stuhlsatzenhausweg 85, 66123 Saarbr{\"u}cken, Germany},
  NUMBER = {MPI-I-2012-4-001},
  MONTH = {April},
  YEAR = {2012},
  ISSN = {0946-011X},