Robust binocular pose estimation based on pigeon-inspired optimization

Lu Gan; Haibin Duan

doi:10.1109/ICIEA.2015.7334261

Robust binocular pose estimation based on pigeon-inspired optimization

Lu Gan
, Haibin Duan

School of Automation Science and Electrical Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

In this paper, an accurate and robust pose estimation algorithm for binocular camera systems is proposed based on pigeon-inspired optimization (PIO), which can be easily generalized to estimation for multiple camera systems. In this method, the information of both cameras is completely used, and the poses of them can be determined accurately at the same time. Pigeon-inspired optimization is a new and efficient evolutionary algorithm, which is employed to select the optimal rotation axis in our method. The robustness and high accuracy of the proposed method has been demonstrated by three cases of experiments over some state-of-the-art pose estimation methods.

Original language	English
Title of host publication	Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1043-1048
Number of pages	6
ISBN (Electronic)	9781467373173
DOIs	https://doi.org/10.1109/ICIEA.2015.7334261
State	Published - 20 Nov 2015
Event	10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 - Auckland, New Zealand Duration: 15 Jun 2015 → 17 Jun 2015

Publication series

Name	Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

Conference

Conference	10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
Country/Territory	New Zealand
City	Auckland
Period	15/06/15 → 17/06/15

Keywords

binocular camera systems
multiple camera systems (MCS)
pigeon-inspired optimization (PIO)
pose estimation

Access to Document

10.1109/ICIEA.2015.7334261

Cite this

Gan, L., & Duan, H. (2015). Robust binocular pose estimation based on pigeon-inspired optimization. In Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 (pp. 1043-1048). Article 7334261 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2015.7334261

Gan, Lu ; Duan, Haibin. / Robust binocular pose estimation based on pigeon-inspired optimization. Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1043-1048 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015).

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title = "Robust binocular pose estimation based on pigeon-inspired optimization",

abstract = "In this paper, an accurate and robust pose estimation algorithm for binocular camera systems is proposed based on pigeon-inspired optimization (PIO), which can be easily generalized to estimation for multiple camera systems. In this method, the information of both cameras is completely used, and the poses of them can be determined accurately at the same time. Pigeon-inspired optimization is a new and efficient evolutionary algorithm, which is employed to select the optimal rotation axis in our method. The robustness and high accuracy of the proposed method has been demonstrated by three cases of experiments over some state-of-the-art pose estimation methods.",

keywords = "binocular camera systems, multiple camera systems (MCS), pigeon-inspired optimization (PIO), pose estimation",

author = "Lu Gan and Haibin Duan",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 ; Conference date: 15-06-2015 Through 17-06-2015",

year = "2015",

month = nov,

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doi = "10.1109/ICIEA.2015.7334261",

language = "英语",

series = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",

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Gan, L & Duan, H 2015, Robust binocular pose estimation based on pigeon-inspired optimization. in Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015., 7334261, Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1043-1048, 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015, Auckland, New Zealand, 15/06/15. https://doi.org/10.1109/ICIEA.2015.7334261

Robust binocular pose estimation based on pigeon-inspired optimization. / Gan, Lu; Duan, Haibin.
Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1043-1048 7334261 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - In this paper, an accurate and robust pose estimation algorithm for binocular camera systems is proposed based on pigeon-inspired optimization (PIO), which can be easily generalized to estimation for multiple camera systems. In this method, the information of both cameras is completely used, and the poses of them can be determined accurately at the same time. Pigeon-inspired optimization is a new and efficient evolutionary algorithm, which is employed to select the optimal rotation axis in our method. The robustness and high accuracy of the proposed method has been demonstrated by three cases of experiments over some state-of-the-art pose estimation methods.

AB - In this paper, an accurate and robust pose estimation algorithm for binocular camera systems is proposed based on pigeon-inspired optimization (PIO), which can be easily generalized to estimation for multiple camera systems. In this method, the information of both cameras is completely used, and the poses of them can be determined accurately at the same time. Pigeon-inspired optimization is a new and efficient evolutionary algorithm, which is employed to select the optimal rotation axis in our method. The robustness and high accuracy of the proposed method has been demonstrated by three cases of experiments over some state-of-the-art pose estimation methods.

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KW - multiple camera systems (MCS)

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KW - pose estimation

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Gan L, Duan H. Robust binocular pose estimation based on pigeon-inspired optimization. In Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1043-1048. 7334261. (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015). doi: 10.1109/ICIEA.2015.7334261

Robust binocular pose estimation based on pigeon-inspired optimization

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