MPI-I-2012-4-001
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.
URL to this document: https://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/2012-4-001
BibTeX
@TECHREPORT{KerberBokelohWandSeidel2012,
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},
}