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Camera recovery of an omnidirectional multi-camera system using GPS positions
http://hdl.handle.net/10061/11318
http://hdl.handle.net/10061/1131858cbe775-0183-4735-b50b-1a668438b8e9
名前 / ファイル | ライセンス | アクション |
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fulltext (10.3 MB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2016-12-26 | |||||
タイトル | ||||||
タイトル | Camera recovery of an omnidirectional multi-camera system using GPS positions | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Camera Recovery | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Omnidirectional Multi-camera System | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Global Positioning System | |||||
資源タイプ | ||||||
資源タイプ | conference paper | |||||
アクセス権 | ||||||
アクセス権 | open access | |||||
著者 |
Ikeda, Sei
× Ikeda, Sei× Sato, Tomokazu× Yokoya, Naokazu |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | This paper describes a novel method for estimating positions and postures of an omnidirectional multi-camera system from its multiple image sequences and sparse position data acquired by GPS. The proposed method is based on a structure-from-motion technique which is enhanced by using multiple image sequences as well as GPS position data. Moreover, the position data are also used to remove mis-tracked features. The proposed method allows us to estimate position and posture without accumulative errors and annoying effects due to moving objects in outdoor environments. The validity of the method is demonstrated through experiments using both synthetic and real outdoor scenes. | |||||
書誌情報 |
巻 IEICE-106, 号 376, p. 37-42, 発行日 2006 |
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会議情報 | ||||||
会議名 | First Korea-Japan Joint Workshop on Pattern Recognition | |||||
開催期間 | Nov 23-24, 2006 | |||||
開催地 | Jeju | |||||
開催国 | KOR | |||||
出版者 | ||||||
出版者 | IEICE | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0913-5685 | |||||
権利 | ||||||
権利情報 | Copyright c 2006 IEICE | |||||
著者版フラグ | ||||||
出版タイプ | VoR |