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GPGPU-Assisted Subpixel Tracking Method for Fiducial Markers
https://ipsj.ixsq.nii.ac.jp/records/98378
https://ipsj.ixsq.nii.ac.jp/records/98378a101e9d8-dc01-43ce-9c5d-0b7f79f21ef7
| 名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2014 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||
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| 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
× Shinya, Yamamoto
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| 著者名(英) |
Naoki, Shibata
× Naoki, Shibata
× 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 ------------------------------ |
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| 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 ------------------------------ |
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| 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 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1882-7764 | |||||||||