Multiple 3D Object Recognition using RGB-D Data and Physical Consistency for Automated Warehousing Robots

Shuichi Akizuki, Manabu Hashimoto

2016

Abstract

In this research, we propose a method to recognize multiple objects in the shelves of automated warehouses. The purpose of this research is to enhance the reliability of the Hypothesis Verification (HV) method that simultaneously recognizes layout of multiple objects. The proposed method have employed not only the RGB-D consistency between the input scene and the scene hypothesis but also the physical consistency. By considering the physical consistency of the scene hypothesis, the proposed HV method can efficiently reject false one. Experiment results for object which are used at Amazon Picking Challenge 2015 have been confirmed that the recognition success rate of the proposed method is higher than the previous HV method.

References

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Paper Citation


in Harvard Style

Akizuki S. and Hashimoto M. (2016). Multiple 3D Object Recognition using RGB-D Data and Physical Consistency for Automated Warehousing Robots . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 605-609. DOI: 10.5220/0005723806050609


in Bibtex Style

@conference{visapp16,
author={Shuichi Akizuki and Manabu Hashimoto},
title={Multiple 3D Object Recognition using RGB-D Data and Physical Consistency for Automated Warehousing Robots},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={605-609},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005723806050609},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)
TI - Multiple 3D Object Recognition using RGB-D Data and Physical Consistency for Automated Warehousing Robots
SN - 978-989-758-175-5
AU - Akizuki S.
AU - Hashimoto M.
PY - 2016
SP - 605
EP - 609
DO - 10.5220/0005723806050609