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Proceedings Paper

Evaluation of approaches combining 2D and 3D data for object recognition developed for the mobile robot Lisa
Author(s): Viktor Seib; Florian Polster; Dietrich Paulus
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Paper Abstract

The image data that object recognition systems are designed for changes over time. As soon as a new imaging technology is developed or becomes affordable new algorithms are inspired or known algorithms are adapted. Thus, different object recognition algorithms were developed and used on our mobile robot Lisa. In this work we compare the different approaches and investigate how they can be combined to best use 2D and 3D data. The individual approaches as well as their combinations will be introduced. Evaluation is performed on a large public dataset and a dataset acquired during the RoboCup competition.

Paper Details

Date Published: 8 February 2017
PDF: 5 pages
Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 102530F (8 February 2017); doi: 10.1117/12.2266256
Show Author Affiliations
Viktor Seib, Univ. Koblenz-Landau (Germany)
Florian Polster, Univ. Koblenz-Landau (Germany)
Dietrich Paulus, Univ. Koblenz-Landau (Germany)

Published in SPIE Proceedings Vol. 10253:
2016 International Conference on Robotics and Machine Vision
Alexander V. Bernstein; Adrian Olaru; Jianhong Zhou, Editor(s)

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