| Presentation | 2010-02-18 Camera Pen System Using Feature Tracking and Document Image Retrieval Kazumasa IWATA, Koichi KISE, Msakazu IWAMURA, Seiichi UCHIDA, Shinichiro OMACHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This report presents a camera-pen for acquiring handwriting as digital ink. With a pen we write memos on blank paper as well annotations on existing documents. Therefore, it is necessary for the camera-pen to acquire handwriting for both cases. In particular, for the case of annotations, not only acquiring handwriting but also locating them onto the document are essential. We fulfill these requirements by combining two existing methods: one is for recovering handwriting on blank paper, and the other is for locating handwriting based on document image retrieval. The problem to be solved for the combination is the difference of required area to be captured by the camera (the former requires fine images with smaller areas, while the latter needs larger areas). In the proposed method, this problem is solved by using mosaicing of captured images. Handwriting is recovered from the fine image based on SURF features extracted from the paper surface and characters printed on it. In addition, mosaicing with SURF features allows us to obtain a larger image. Once a sufficiently large image is obtained, document image retrieval is employed to locate the recovered handwriting. From the experimental results, we discuss the effectiveness of the proposed method as well as future work to be explored. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | document image processing / LLAH / SURF / handwriting / camerapen system |
| Paper # | PRMU2009-214 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2010/2/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Camera Pen System Using Feature Tracking and Document Image Retrieval |
| Sub Title (in English) | |
| Keyword(1) | document image processing |
| Keyword(2) | LLAH |
| Keyword(3) | SURF |
| Keyword(4) | handwriting |
| Keyword(5) | camerapen system |
| 1st Author's Name | Kazumasa IWATA |
| 1st Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University() |
| 2nd Author's Name | Koichi KISE |
| 2nd Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University |
| 3rd Author's Name | Msakazu IWAMURA |
| 3rd Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University |
| 4th Author's Name | Seiichi UCHIDA |
| 4th Author's Affiliation | Faculity of Information Science and Electrical Engineering, Kyushu University |
| 5th Author's Name | Shinichiro OMACHI |
| 5th Author's Affiliation | Graduate School of Engineering, Tohoku University |
| Date | 2010-02-18 |
| Paper # | PRMU2009-214 |
| Volume (vol) | vol.109 |
| Number (no) | 418 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |