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  1. 論文誌(ジャーナル)
  2. Vol.55
  3. No.1

GPGPU-Assisted Subpixel Tracking Method for Fiducial Markers

https://ipsj.ixsq.nii.ac.jp/records/98378
https://ipsj.ixsq.nii.ac.jp/records/98378
a101e9d8-dc01-43ce-9c5d-0b7f79f21ef7
名前 / ファイル ライセンス アクション
IPSJ-JNL5501044.pdf IPSJ-JNL5501044 (6.0 MB)
Copyright (c) 2014 by the Information Processing Society of Japan
オープンアクセス
Item type Journal(1)
公開日 2014-01-15
タイトル
タイトル GPGPU-Assisted Subpixel Tracking Method for Fiducial Markers
タイトル
言語 en
タイトル GPGPU-Assisted Subpixel Tracking Method for Fiducial Markers
言語
言語 eng
キーワード
主題Scheme Other
主題 [特集:社会と共に絆を支える高度交通システムとモバイル通信] GPGPU, fiducial marker, connected-component labeling
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
Nara Institute of Science and Technology
著者所属
Tokyo University of Science
著者所属(英)
en
Nara Institute of Science and Technology
著者所属(英)
en
Tokyo University of Science
著者名 Naoki, Shibata

× Naoki, Shibata

Naoki, Shibata

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Shinya, Yamamoto

× Shinya, Yamamoto

Shinya, Yamamoto

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著者名(英) Naoki, Shibata

× Naoki, Shibata

en Naoki, Shibata

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Shinya, Yamamoto

× Shinya, Yamamoto

en Shinya, Yamamoto

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論文抄録
内容記述タイプ Other
内容記述 With an aim to realizing highly accurate position estimation, we propose in this paper a method for efficiently and accurately detecting the 3D positions and poses of traditional fiducial markers with black frames in high-resolution images taken by ordinary web cameras. Our tracking method can be efficiently executed utilizing GPGPU computation, and in order to realize this, we devised a connected-component labeling method suitable for GPGPU execution. In order to improve accuracy, we devised a method for detecting 2D positions of the corners of markers in subpixel accuracy. We implemented our method in Java and OpenCL, and we confirmed that the proposed method provides better detection and measurement accuracy, and recognizing from high-resolution images is beneficial for improving accuracy. We also confirmed that our method is more than two times as fast as the existing method with CPU computation.

------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.22(2014) No.1 (online)
DOI http://dx.doi.org/10.2197/ipsjjip.22.19
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 With an aim to realizing highly accurate position estimation, we propose in this paper a method for efficiently and accurately detecting the 3D positions and poses of traditional fiducial markers with black frames in high-resolution images taken by ordinary web cameras. Our tracking method can be efficiently executed utilizing GPGPU computation, and in order to realize this, we devised a connected-component labeling method suitable for GPGPU execution. In order to improve accuracy, we devised a method for detecting 2D positions of the corners of markers in subpixel accuracy. We implemented our method in Java and OpenCL, and we confirmed that the proposed method provides better detection and measurement accuracy, and recognizing from high-resolution images is beneficial for improving accuracy. We also confirmed that our method is more than two times as fast as the existing method with CPU computation.

------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.22(2014) No.1 (online)
DOI http://dx.doi.org/10.2197/ipsjjip.22.19
------------------------------
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00116647
書誌情報 情報処理学会論文誌

巻 55, 号 1, 発行日 2014-01-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7764
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