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Authors: Viktor Seib ; Nick Theisen and Dietrich Paulus

Affiliation: Active Vision Group (AGAS), University of Koblenz-Landau, Universitätsstr. 1, 56070 Koblenz, Germany

ISBN: 978-989-758-354-4

Keyword(s): Shape Classification, Global Verification, Mobile Robotics, Implicit Shape Models, Point Clouds, Codebooks.

Abstract: We present a competitive approach for 3D data classification that is related to Implicit Shape Models and Naive-Bayes Nearest Neighbor algorithms. Based on this approach we investigate methods to reduce the amount of data stored in the extracted codebook with the goal to eliminate redundant and ambiguous feature descriptors. The codebook is significantly reduced in size and is combined with a novel global verification approach. We evaluate our algorithms on typical 3D data benchmarks and achieve competitive results despite the reduced codebook. The presented algorithm can be run efficiently on a mobile computer making it suitable for mobile robotics applications. The source code of the developed methods is made publicly available to contribute to point cloud processing, the Point Cloud Library (PCL) and 3D classification software in general.

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Paper citation in several formats:
Seib, V.; Theisen, N. and Paulus, D. (2019). Boosting 3D Shape Classification with Global Verification and Redundancy-free Codebooks.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-354-4, pages 257-264. DOI: 10.5220/0007312402570264

@conference{visapp19,
author={Viktor Seib. and Nick Theisen. and Dietrich Paulus.},
title={Boosting 3D Shape Classification with Global Verification and Redundancy-free Codebooks},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2019},
pages={257-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007312402570264},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Boosting 3D Shape Classification with Global Verification and Redundancy-free Codebooks
SN - 978-989-758-354-4
AU - Seib, V.
AU - Theisen, N.
AU - Paulus, D.
PY - 2019
SP - 257
EP - 264
DO - 10.5220/0007312402570264

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