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Pose Detection for Flexible-Indefinite Objects using Pseudo-Bone Data
http://hdl.handle.net/10228/00009118
http://hdl.handle.net/10228/00009118650ba7c5-aa04-4467-b87d-99faa45295c1
| 名前 / ファイル | ライセンス | アクション |
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| Item type | 会議発表論文 = Conference Paper(1) | |||||||||||
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| 公開日 | 2023-03-15 | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
| 資源タイプ | conference paper | |||||||||||
| タイトル | ||||||||||||
| タイトル | Pose Detection for Flexible-Indefinite Objects using Pseudo-Bone Data | |||||||||||
| 言語 | en | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 著者 |
Yoshimoto, Yuma
× Yoshimoto, Yuma× 田向, 権
WEKO
6059
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| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | This paper proposes a method for recognizing the poses of a flexible-indefinite object. Some flexible-indefinite objects, such as fried shrimp, differ between individuals. Therefore, it is difficult to estimate the pose of these foods by point cloud fitting or other methods. We propose "pseudo-skeleton" data for these objects. Pseudo-skeleton data consists of "key-points," which are joints, and "bones," which connect between key-points. For example, fried shrimp are given 3 key-points; "head," "belly," and "tail." In addition, the bones that connect them are given. In the experiment, objects pose recognition model based on the human pose recognition model trains pseudo-skeleton data of fried shrimp. We confirmed that the model estimates the poses in the images. | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | The 2023 International Conference on Artificial Life and Robotics (ICAROB 2023), February 9-12, 2023, on line, Oita, Japan | |||||||||||
| 書誌情報 |
Proceedings of International Conference on Artificial Life & Robotics (ICAROB2023) 発行日 2023 |
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| 出版社 | ||||||||||||
| 出版社 | ALife Robotics | |||||||||||
| DOI | ||||||||||||
| 関連タイプ | isIdenticalTo | |||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | https://doi.org/10.5954/ICAROB.2023.OS17-1 | |||||||||||
| ISBN | ||||||||||||
| 識別子タイプ | ISBN | |||||||||||
| 関連識別子 | 978-4-9908350-8-8 | |||||||||||
| 著作権関連情報 | ||||||||||||
| 権利情報 | Copyright (c) The 2023 International Conference on Artificial Life and Robotics (ICAROB2023) | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Pseudo-skeleton | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Flexible-indefinite objects | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Pose estimation model | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Key-points and bones | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | VoR | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
| 査読の有無 | ||||||||||||
| 値 | yes | |||||||||||
| 研究者情報 | ||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/100000641_ja.html | |||||||||||
| 論文ID(連携) | ||||||||||||
| 値 | 10406478 | |||||||||||
| 連携ID | ||||||||||||
| 値 | 11095 | |||||||||||