Object Recognition with Less Requirements

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2011/11/01

タイトル(英語): Object Recognition with Less Requirements

著者名: Martin Klinkigt (Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University), Koichi Kise (Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University)

著者名(英語): Martin Klinkigt (Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University), Koichi Kise (Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University)

キーワード: object recognition，superpixel，shape model，shape context，SIFT

要約(英語): In recent years remarkable results have been achieved in the field of object recognition. Recognition performance of more than 90% are not rare anymore leading to the conclusion of an application beyond scientific fields. However, such a high performance is often a result of unrealistic constraints of the images to be recognized and the use-cases which are only applicable in controlled laboratory environments. In this paper we propose a system working even under difficult conditions and achieving higher recognition performance as compared to other state-of-the-art systems.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.131 No.11 （2011） 特集：電気関係学会関西連合大会

本誌掲載ページ: 1878-1888 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/131/11/131_11_1878/_article/-char/ja/