Human Face Detection System by Kenzan NET with preprocess analyzing hyperspectral image

Takakazu Chashikawa, Keizo Fujii, Yoshiyasu Takefuji

研究成果: Conference contribution

抄録

This paper proposes a neural network system to detect human faces. Our scheme is composed of a preprocess and KenzanNET. Preprocessing analyzes hyperspectral images by using a hybrid self-organizing classification model to extract skin area and making a facial candidate pattern based on the extracted skin area. KenzanNET discriminate a face from other body parts. KenzanNET is a kind of feed forward neural network and is made from CombNET [ I[ improved by an additional learning function. Under the various conditions in terms of background and brightness in a room and the distance between people and camera, our system can detect human face with 76.9% accuracy.

本文言語English
ホスト出版物のタイトルProceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999
編集者Marcello M. Veiga, John A. Meech, Michael H. Smith, Steven R. LeClair
出版社Institute of Electrical and Electronics Engineers Inc.
ページ453-458
ページ数6
ISBN(電子版)0780354893, 9780780354890
DOI
出版ステータスPublished - 1999
外部発表はい
イベント2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 - Honolulu, United States
継続期間: 1999 7月 101999 7月 15

出版物シリーズ

名前Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999
1

Other

Other2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999
国/地域United States
CityHonolulu
Period99/7/1099/7/15

ASJC Scopus subject areas

  • 産業および生産工学
  • 材料科学(その他)

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