@article{oai:sucra.repo.nii.ac.jp:00013427,
 author = {MANSUR, Al and SAKATA, Katsutoshi and DAS, Dipankar and 久野, 義徳},
 issue = {7},
 journal = {IEICE Trans. Information and Systems},
 month = {},
 note = {Conventional interest point based matching requires computationally expensive patch preprocessing and is not appropriate for recognition of plain objects with negligible detail. This paper presents a method for extracting distinctive interest regions from images that can be used to perform reliable matching between different views of plain objects or scene. We formulate the correspondence problem in a Naive Bayesian classification framework and a simple correlation based matching, which makes our system fast, simple, efficient, and robust. To facilitate the matching using a very small number of interest regions, we also propose a method to reduce the search area inside a test scene. Using this method, it is possible to robustly identify objects among clutter and occlusion while achieving near real-time performance. Our system performs remarkably well on plain objects where some state-of-the art methods fail. Since our system is particularly suitable for the recognition of plain object, we refer to it as Simple Plane Object Recognizer (SPOR)., 総務省戦略的情報通信研究開発推進制度(SCOPE)
特定領域重点型研究開発　次世代ヒューマンインタフェース・コンテンツ技術
視覚情報に基づく人間とロボットの対面およびネットワークコミュニケーション(051303007)
平成17年度〜平成19年度　総務省戦略的情報通信研究開発推進制度(SCOPE)
研究成果報告書(平成20年3月)
研究代表者 久野 義徳(埼玉大学大学院理工学研究科 教授)より転載, text, application/pdf},
 pages = {1906--1913},
 title = {Recognition of plain objects using local region matching},
 volume = {E91-D},
 year = {2008},
 yomi = {クノ, ヨシノリ}
}