人物写真の選定支援を目的とした顔画像における白飛びの準定量評価

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: 2013/11/01

タイトル(英語): Quasi-Quantitative Evaluation of Overexposure in the Facial Image for Supporting Portrait Selection

著者名: 村上　龍希（秋田大学），景山　陽一（秋田大学），西田　眞（秋田大学），白澤　洋一（（株）アルファシステムズ）

著者名(英語): Tatsuki Murakami (Akita University), Yoichi Kageyama (Akita University), Makoto Nishida (Akita University), Yoichi Shirasawa (ALPHA SYSTEMS INC.)

キーワード: 白飛び，準定量評価，顔画像，人物写真選定　　Overexposure，Quasi-quantitative evaluation，Facial image，Portrait selection

要約(英語): In the selection of portraits for ID and a profile, it is useful to retrieve high quality facial images from a lot of portraits. In addition, overexposure may give a negative impact on us because overexposed facial parts look unnaturally white; therefore the recognition for qualitative meaning of overexposure is important for retrieval of high quality facial images. To get qualitative meaning by a image analysis method that can evaluate images quantitatively, it needs a quasi-quantitative evaluation method that can use an index of quantitative evaluation having qualitative meaning. In this paper, we investigated the index for quasi-quantitative estimation of overexposure in the facial image on the basis of the heuristic assumptions, and defined the index as the overexposure intensity (OI). We developed an algorithm with Support Vector Machine (SVM) for judging the OI. The results of experiment conducted with 11 evaluators for analyzing images suggest that the proposed method can retrieve a facial image for ID and the profile with an F-measure of 96.2%.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.11 （2013） 特集：電気関係学会関西連合大会

本誌掲載ページ: 2098-2109 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/133/11/133_2098/_article/-char/ja/