Facial features extraction by accelerated implementation of circular hough transform and appearance evaluation

Hayato Iwasa, Wataru Oyama, Tetsushi Wakabayashi, Fumitaka Kimura

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

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. The acceleration implementation employs General Purpose computing on Graphics Processing Unit. Experiment using FERET database shows that the proposed method successfully extracted eyes and nose for 98.44% and 99.50% of frontal face images in the dataset. And 96.5% of computational time was reduced by accelerated implementation employing GPGPU.

本文言語英語
ホスト出版物のタイトル2015 Frontiers of Computer Vision, FCV 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781479917204
DOI
出版ステータス出版済み - 1月 1 2015
外部発表はい
イベント2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2015 - Mokpo, 韓国
継続期間: 1月 28 20151月 30 2015

その他

その他2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2015
国/地域韓国
CityMokpo
Period1/28/151/30/15

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識

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