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Construction of Multi Viewpoints Database by GA for AR
http://hdl.handle.net/10228/5833
http://hdl.handle.net/10228/58334ff1bc76-eea0-4228-a60f-b50769f4931f
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
ICIAE2015_184.pdf (444.6 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 | 2016-10-20 | |||||
| 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 | Construction of Multi Viewpoints Database by GA for AR | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 著者 |
Matsuda, Nozomi
× Matsuda, Nozomi× Katada, Kousuke× Chen, Shenjing× 張, 力峰 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Recently, as a useful application, the Augmented Reality (AR) has been widely adopted in mobile devices. In order to make the AR working smoothly on a low calculation ability smartphone, the high robustness and low calculation cost method is required. To realize such requirements, the Representative Image (RI) has been proposed. But, it does not guarantee the robustness in every case. In this study, an improved RI method using genetic algorithm is proposed. The numerous simulation result shows the proposed method is more robustness than the traditional one. | |||||
| 備考 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | The 3rd International Conference on Industrial Application Engineering 2015, March 28-31, 2015, Kitakyushu International Conference Center, Kitakyushu, Japan | |||||
| 書誌情報 |
Proceedings of the 3rd International Conference on Industrial Application Engineering 2015 (ICIAE2015) p. 184-188, 発行日 2015-03-29 |
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| 出版社 | ||||||
| 出版社 | 社団法人産業応用工学会 | |||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.12792/iciae2015.035 | |||||
| 著作権関連情報 | ||||||
| 権利情報 | 産業応用工学会 | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Augmented reality | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Database construction | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Genetic Algorithm | |||||
| 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/88_ja.html | |||||
| 連携ID | ||||||
| 値 | 5713 | |||||
