文献
J-GLOBAL ID:201802267421714501
整理番号:18A2232730
訓練可能な形状と色特徴を用いた顔画像からの性別認識【JST・京大機械翻訳】
Gender recognition from face images using trainable shape and color features
著者 (5件):
Azzopardi George
(Faculty of Science and Engineering, Johann Bernoulli Inst. for Math. and CompSc., University of Groningen, the Netherlands)
,
Foggia Pasquale
(Dept. of Computer Eng. and Electrical Eng. and Applied Mathematics, Faculty of Engineering, University of Salerno, Italy)
,
Greco Antonio
(Dept. of Computer Eng. and Electrical Eng. and Applied Mathematics, Faculty of Engineering, University of Salerno, Italy)
,
Saggese Alessia
(Dept. of Computer Eng. and Electrical Eng. and Applied Mathematics, Faculty of Engineering, University of Salerno, Italy)
,
Vento Mario
(Dept. of Computer Eng. and Electrical Eng. and Applied Mathematics, Faculty of Engineering, University of Salerno, Italy)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
ICPR
ページ:
1983-1988
発行年:
2018年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)