Occlusion Robust Pattern Matching Using Shape Based Eigen Templates

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: 2013/01/01

タイトル(英語): Occlusion Robust Pattern Matching Using Shape Based Eigen Templates

著者名: Gou Koutaki (Kumamoto University), Keiichi Uchimura (Kumamoto University)

著者名(英語): Gou Koutaki (Kumamoto University), Keiichi Uchimura (Kumamoto University)

キーワード: template matching，pattern matching，eigen decomposition，shape based

要約(英語): We propose a new template matching method to detect the XY displacement and the rotational angle accurately for the chipped target object in the complex background. The proposed method is based on the Eigen template method. The eigen template method compresses many rotational templates by using eigen decomposition technique. This method can detect the target object same as the accuracy of Normalized Cross Correlation (NCC) and it is less computation time. However, the eigen template method is not robust for the occluded (chipped) target and the complex background. In this paper, we improve the eigen template method to use the shape based image similarity. The simulation experiments show that the proposed method can detect the target object correctly for the complex images.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.1 （2013） 特集：2012 Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2012)

本誌掲載ページ: 134-141 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/133/1/133_134/_article/-char/ja/