文献の詳細

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
発表場所	Seoul, South Korea
査読の有無	有
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).

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• BibTeX用エントリー

  @InProceedings{Nakai2005,
    author =	{Tomohiro Nakai and Koichi Kise and Masakazu Iwamura},
    title =	{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\—},
    booktitle =	{Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)},
    year =	2005,
    month =	aug,
    pages =	{87--94},
    location =	{Seoul, South Korea}
  }
  
  
  

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