低解像度顔画像を対象とした顔モデルの構築
低解像度顔画像を対象とした顔モデルの構築
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: 2013/09/01
タイトル(英語): The Design of Face Model for Low Resolution Face Images
著者名: 鈴木 聡(香川大学),満倉 靖恵(慶應義塾大学),高橋 悟(香川大学)
著者名(英語): Satoru Suzuki (Kagawa University), Yasue Mitsukura (Keio University), Satoru Takahashi (Kagawa University)
キーワード: Active Appearance Model,解像度可変,低解像度画像,顔モデルのフィッティング Active Appearance Model,resolution-variable,low resolution images,face model fitting
要約(英語): The technology of face tracking plays an important role for improving the quality of security by surveillance camera and, archiving the smooth communications between human and robot. As one of the face tracking methods, Active Appearance Model (AAM) which is robust for object's rigid and non-rigid transformations has been proposed by T. F. Cootes et al. Although the method is appropriate for the larger face in an image, it is indicated that face tracking for the small face in an image is difficult. Therefore, in this paper, we present the Resolution-variable AAM. Resolution-variable AAM is the novel model for small face fitting in the image which has been difficult to fit to. In the proposed method, we overcome the problem by introducing the structure of changing the resolution to AAM and, changing its resolution adaptively to the resolution of input image. From the simulation results, it was confirmed that the proposed method was rapid and useful for small face fitting.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.133 No.9 (2013) 特集:エージェントシミュレーションの最新動向
本誌掲載ページ: 1837-1844 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/9/133_1837/_article/-char/ja/
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