Japanese / English


論文の言語 英語
著者 Tomohiro Nakai, Koichi Kise, Masakazu Iwamura
論文名 Hashing with Local Combinations of Feature Points and Its Application to Camera-Based Document Image Retrieval—Retrieval in 0.14 Second from 10,000 Pages—
論文誌名 Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)
ページ pp.87-94
年月 2005年8月
要約 This paper presents a new method of indexing and retrieval of planar objects based on feature points and its application to document image retrieval using cameras. As the indexing method we propose a method based on local combinations of projective invariants calculated from feature points. As the retrieval method we employ a voting technique for efficiency and robustness against erasure of feature points. Experimental results on 10,000 images with 50 queries show that the method is effective (98% accuracy; the remaining query was ranked at the 5th position among 10,000) and efficient (0.14 second per query).