Verifying detected facial parts by multidirectional associative memory

M. Kitabata, Yoshiyasu Takefuji

研究成果: Conference contribution

抜粋

In this paper, we propose a neural network system for verifying whether a mouth or eyes can be extracted from an image area by Back Propagation (BP). It is necessary to test the proposed system in a noisy environment. In this paper, the model of neural network system for recognizing a mouth is based on the function of peripheral vision, In our research, a mouth has distinct properties of brightness in the right corner of the mouth, the left corner of the mouth, the tip of nose, and the nostril. Furthermore we discovered that humans commonly observe these properties of the mouth regardless of the brightness of lighting, different colors of the mouth, or different form of the mouth. By using these features, we designed an associative memory neural network for the verification.

元の言語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
出版者Institute of Electrical and Electronics Engineers Inc.
ページ995-1001
ページ数7
2
ISBN(電子版)0780354893, 9780780354890
DOI
出版物ステータスPublished - 1999 1 1
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 101999 7 15

Other

Other2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999
United States
Honolulu
期間99/7/1099/7/15

    フィンガープリント

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Materials Science (miscellaneous)

これを引用

Kitabata, M., & Takefuji, Y. (1999). Verifying detected facial parts by multidirectional associative memory. : Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 (巻 2, pp. 995-1001). [791517] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPMM.1999.791517