Verifying detected facial parts by multidirectional associative memory

M. Kitabata, Yoshiyasu Takefuji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages995-1001
Number of pages7
Volume2
ISBN (Electronic)0780354893, 9780780354890
DOIs
Publication statusPublished - 1999 Jan 1
Event2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 - Honolulu, United States
Duration: 1999 Jul 101999 Jul 15

Other

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

    Fingerprint

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Materials Science (miscellaneous)

Cite this

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