06月05日(Wed) 09:00〜10:40 H会場(-市民プラザ3F AVスタジオ)
演題番号 | 2H1-2 |
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題目 | Text Localization in Scene Images by Using Character Energy and Maximally Stable Extremal Regions |
著者 | 馬場 惇(京都大学大学院情報学研究科 知能情報学専攻) 山本 章博(京都大学 大学院情報学研究科) |
時間 | 06月05日(Wed) 09:20〜09:40 |
概要 | Text localization in scene images is a challenging problem, and a lot of methods have been proposed for ICDAR dataset. Character Energy is a naive feature developed by observing images of characters in previous researches. However, the accuracy obtained when Character Energy is used depends on the accuracy of closed boundary detection. In this paper, we propose to combine using Character Energy and detecting MSERs. That is, we detect virtually unchanged regions with MSERs and compute Character Energy with the boundaries of detected regions. By using our proposal, we would properly extract text locations in scene images of ICDAR dataset. |
論文 | PDFファイル |