Position detection for a camera pen using LLAH and dot patterns (ヒューマン情報処理)
スポンサーリンク
概要
- 論文の詳細を見る
In this report, we present a method of position detection for a low-cost camera-pen. Our method allows reconstruction of handwriting, as well as retrieval of the particular document that is being written onto. For this matter, we use a point pattern printed onto the document's background, which is indexed using Locally Likely Arrangement Hashing. For position detection, the dot pattern is extracted from the camera image and then matched to the hash table. Experimental results show high retrieval accuracy (80.4%〜100.0%) when the pattern is disturbed by the document's foreground only to a certain extent.
- 2010-03-08
著者
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Dengel Andreas
German Research Center for Artificial Intelligence(DFKI)
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SPERBER Matthias
Department of Computer Science and Intelligent Systems, Osaka Prefecture University
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KLINKIGT Martin
Department of Computer Science and Intelligent Systems, Osaka Prefecture University
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KISE Koichi
Department of Computer Science and Intelligent Systems, Osaka Prefecture University
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IWAMURA Masakazu
Department of Computer Science and Intelligent Systems, Osaka Prefecture University
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ADRIAN Benjamin
German Research Center for Artificial Intelligence
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Kise Koichi
Department Of Computer Science And Intelligent Systems Osaka Prefecture University
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Kise Koichi
Department Of Computer Science And Intelligent Systems Graduate School Of Engineering Osaka Prefectu
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Dengel Andreas
German Research Center For Artificial Intelligence
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Klinkigt Martin
Department Of Computer Science And Intelligent Systems Osaka Prefecture University
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Sperber Matthias
Department Of Computer Science And Intelligent Systems Osaka Prefecture University
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Iwamura Masakazu
Department Of Computer Science And Intelligent Systems Osaka Prefecture University
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Klinkigt Martin
Department Of Computer Science And Intelligent Systems Graduate School Of Engineering Osaka Prefecture University
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