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アイテム
Evaluation of the Relationships Between Saliency Maps and Keypoints
http://hdl.handle.net/10228/00008220
http://hdl.handle.net/10228/0000822025d60d30-ec30-4cfa-8a14-435731960b29
| 名前 / ファイル | ライセンス | アクション |
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10354747.pdf (896.0 kB)
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| アイテムタイプ | 会議発表論文 = Conference Paper(1) | |||||||||||
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| 公開日 | 2021-04-23 | |||||||||||
| 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 | Evaluation of the Relationships Between Saliency Maps and Keypoints | |||||||||||
| 言語 | en | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 著者 |
望月, 隆吾
× 望月, 隆吾× 石井, 和男
WEKO
3456
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| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Saliency is a property of images that triggers bottom-up attention. For example, if a location in an image is sufficiently different from its surrounding and worthy of paying attention, such characteristic of image is saliency. From the point of view, the location of larger saliency is outstanding visually. On the other hand, As Image Feature extraction method, such as SIFT or SURF, robust feature matching has been realized under the existence of changing size or rotation of observed target. For the consequence, its advantage has been introduced into image stitching and Visual SRAM. However, the amount of image features is susceptive to changing photographing condition, such as luminance variety, defocus-ing etc. We assumed that feature extraction stability is large in salient region because of steep bright-ness gradient. We evaluated the relationship between saliency and feature extraction stability. | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | The 2020 International Conference on Artificial Life and Robotics (ICAROB 2020), January 13-16, 2020, B-Con Plaza, Beppu, Oita | |||||||||||
| 書誌情報 |
Proceedings of International Conference on Artificial Life & Robotics (ICAROB2020) 巻 25, p. 249-254, 発行日 2020-01-13 |
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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.2020.OS24-3 | |||||||||||
| ISBN | ||||||||||||
| 識別子タイプ | ISBN | |||||||||||
| 関連識別子 | 978-4-9908350-5-7 | |||||||||||
| ISSN | ||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||
| 収録物識別子 | 2435-9157 | |||||||||||
| 著作権関連情報 | ||||||||||||
| 権利情報 | The 2020 International Conference on Artificial Life and Robotics (ICAROB 2020), January 13-16, 2020, B-Con Plaza, Beppu, Oita | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Saliency Map | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Spatial-frequency | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Invariant Image Feature | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Filter Tuning | |||||||||||
| 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/353_ja.html | |||||||||||
| 論文ID（連携） | ||||||||||||
| 値 | 10354747 | |||||||||||
| 連携ID | ||||||||||||
| 値 | 8778 | |||||||||||
