## 抄録

Recently, research about man-machine interfaces has increased. Therefore application to facial expressions is expected from the development of the man-machine interface. An eigen-face method is popular in these research fields by using the principal component analysis (PCA). But in PCA, it is not easy to compute eigenvectors with a large matrix when considering the cost of calculation to adapt for time-varying processing. In order for PCA to become high-speed, the simple principal component analysis (SPCA) is applied to compress the dimensionality of portions that constitute a face. A value of cos theta/ is calculated using the eigenvector and the gray-scale image vector of each picture pattern. By using neural networks (NN), the value of cos theta/ between true and false (plastic) smiles is clarified and the true smile is discriminated. Finally, in order to show the effectiveness of the proposed face classification method for true or false smile, computer simulations are done.

本文言語 | English |
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ホスト出版物のタイトル | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age |

出版社 | Institute of Electrical and Electronics Engineers Inc. |

ページ | 650-654 |

ページ数 | 5 |

巻 | 2 |

ISBN（印刷版） | 9810475241, 9789810475246 |

DOI | |

出版ステータス | Published - 2002 |

外部発表 | はい |

イベント | 9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore 継続期間: 2002 11月 18 → 2002 11月 22 |

### Other

Other | 9th International Conference on Neural Information Processing, ICONIP 2002 |
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国/地域 | Singapore |

City | Singapore |

Period | 02/11/18 → 02/11/22 |

## ASJC Scopus subject areas

- コンピュータ ネットワークおよび通信
- 情報システム
- 信号処理