@techreport{oai:ipsj.ixsq.nii.ac.jp:00174412,
 author = {大西, 友貴 and 小山田, 雄仁 and 三柴, 数 and 近藤, 克哉 and Tomotaka, Ohnishi and Yuji, Oyamada and Kazu, Mishiba and Katsuya, Kondo},
 issue = {3},
 month = {Aug},
 note = {文書画像検索とはカメラで撮影した文書画像を事前に用意したデータベース中から見つける手法を指す．従来法では，射影不変だが点の順列に対して暖昧性を持つ特徴量を用いていた．そのため順列に対し暖昧性を解決する工夫が行われてきたが，特徴量に冗長性を持たせるため本質的な解決策とは言えなかった．本論文では射影不変かつ置換不変な特徴量を用いることで，冗長性を解消した文書画像検索を提案する．実験では，シミュレーション・実画像実験を行い，本手法の性能を検証した．, Given an image capturing a document, document image retrieval finds the closest image from a document image database. Typical solutions regard each word as a point and solve the retrieval as points-to-points matching. Locally Likely Arrangement Hashing (LLAH) uses affine/perspective invariants as feature and achieves real-time retrieval system based on hashing. LLAH contains a redundancy to solve the permutation ambiguity of points detected from an image. In this paper, we propose to introduce P2-invariant, perspective and permutation invariant, as feature for document image retrieval. Contrast to the existing methods, the proposed method solves the retrieval problem by 5-tuple-to-5-tuple matching technique. The experimental result shows the performance of the proposed method.},
 title = {P2-invariant を用いた文書画像検索},
 year = {2016}
}