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  Symmetry Detection in Large Scale City Scans

Kerber, J., Wand, M., Bokeloh, M., & Seidel, H.-P.(2012). Symmetry Detection in Large Scale City Scans (MPI-I-2012-4-001).

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MPI-I-2012-4-001.pdf (Any fulltext), 14MB
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 Creators:
Kerber, Jens1, Author           
Wand, Michael1, Author           
Bokeloh, Martin2, Author           
Seidel, Hans-Peter1, Author           
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1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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 Abstract: 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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Language(s): eng - English
 Dates: 2012
 Publication Status: Published online
 Pages: 32 p.
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 Identifiers: BibTex Citekey: KerberBokelohWandSeidel2012
Report Nr.: MPI-I-2012-4-001
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Title: Research Report
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 0946-011X