著者
村上 龍希 景山 陽一 西田 眞 白澤 洋一
出版者
一般社団法人 電気学会
雑誌
電気学会論文誌C(電子・情報・システム部門誌) (ISSN:03854221)
巻号頁・発行日
vol.133, no.11, pp.2098-2109, 2013-11-01 (Released:2013-11-01)
参考文献数
24

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%.

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「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」(電気学会 電子・情報・システム部門誌掲載)と言う研究では、写真の白飛びに関する知見を情報共有させて頂きました。 #digitable https://t.co/Cq6gS84fPX

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