Seeing faces in noise: Exploring machine and human face detection processes by the reverse correlation method

Chihiro Saegusa, Megumi Yamaoka, Katsumi Watanabe

研究成果: Conference contribution

抄録

In the present study, we aimed at investigating possible similarities (and discrepancies) between two major machine algorithms of face detection (AdaBoost and EigenFace) and human face detection processes. For this, we presented the 'false classification images' produced by the two face detection algorithms to human observers. Noise fields were fed into the two algorithms and images in which each algorithm falsely detected faces were collected. Those images were averaged and normalized to obtain false classification images. Human observers performed a psychophysical experiment to detect a face with the false classification images against random noise images. The face detection performance increased almost linearly as the number of averaged false detection images increase. Inverted images reduced the detection performance more with the images produced by EigenFace than those by AdaBoost. The present results suggest that both human and machine detection algorithms tended to make similar errors and therefore both AdaBoost and EigenFace are good approximation of human face processing.

本文言語English
ホスト出版物のタイトル2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9786163618238
DOI
出版ステータスPublished - 2014 2 12
外部発表はい
イベント2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
継続期間: 2014 12 92014 12 12

出版物シリーズ

名前2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

Other

Other2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
CountryThailand
CityChiang Mai
Period14/12/914/12/12

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems

フィンガープリント 「Seeing faces in noise: Exploring machine and human face detection processes by the reverse correlation method」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル