電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
<音声画像処理・認識>
濃度こう配と円のHough変換を用いた顔特徴点の抽出
岩佐 隼斗大山 航若林 哲史木村 文隆
著者情報
ジャーナル 認証あり

2015 年 135 巻 12 号 p. 1501-1508

詳細
抄録

Extraction of facial feature points is essential task for many kinds of applications of face images. The feasibility of facial features extraction is determined by not only its accuracy but processing time. Some applications require real-time detection of facial features. This research aims to propose a method of facial features extraction by an accelerated implementation of circular Hough transform with gradients and appearance evaluation by histogram of gradient features. Experiment using FERET database shows that the proposed method successfully extracted eyes, nose and mouth for 98.44%, 99.50% and 98.79% of frontal face images in the dataset.

著者関連情報
© 2015 電気学会
前の記事 次の記事
feedback
Top