Cartoon Character Recognition Using Concentric Multi-Region Histograms of Oriented Gradients

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: 2012/11/01

タイトル(英語): Cartoon Character Recognition Using Concentric Multi-Region Histograms of Oriented Gradients

著者名: Weihan Sun (Graduate School of Engineering, Osaka Prefecture University), Koichi Kise (Graduate School of Engineering, Osaka Prefecture University)

著者名(英語): Weihan Sun (Graduate School of Engineering, Osaka Prefecture University), Koichi Kise (Graduate School of Engineering, Osaka Prefecture University)

キーワード: comic books，cartoon character recognition，HOG，face recognition，Concentric Multi-Region model

要約(英語): Comic books are a kind of serial narrative artwork made up of comic pages. As an essential part of comics, cartoon characters appear throughout the whole series. Therefore, the recognition of cartoon characters is useful for many applications of comics. Normally, images of the same character are similar but with different representations in different scenes, such as facial expressions, poses, and viewpoints, which make them difficult to be recognized. In contrast to human being, besides face regions, there are many other parts offering the identification features for cartoon characters. In this paper, we focus on cartoon character recognition and propose Concentric Multi-Region model to explore the significant features from the parts around face regions. Histograms of Oriented Gradients (HOG) is utilized for the description of regions, and the AdaBoost algorithm is applied to obtain a new descriptor named Concentric Multi-Region Histograms of Oriented Gradients (CMR-HOG). In the experiments, 17 labeled cartoon characters are applied. Compared to other face and object recognition methods only based on face regions, the proposed method shows better performance. In addition, we proved its scalability for cartoon character recognition.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.11 （2012） 特集：電気関係学会関西連合大会

本誌掲載ページ: 1847-1854 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/132/11/132_1847/_article/-char/ja/