### Abstract

This paper presents a novel approach to estimate the pose position of the degraded face images using fuzzy vector representation. We focus on the development of fuzzy-manifold as an interpolation line between all the available learning data and the fuzzy distance calculation as the classifier. Crisp-based vector of the face image is firstly transformed into fuzzy-based vector, to deal with the fuzziness of the data caused by statistical measurement error directly. Two types of fuzzy interpolation methods are used to construct the fuzzy-manifold. Estimating the pose position of an unknown crisp-image vector is accomplished by firstly transformed into a fuzzy-vector and calculates the nearest fuzzy-distances to all available fuzzy-points in the designated fuzzy-lines. This system is then applied to estimate a degraded face images influenced by quality degradation effects. Experiment results show that those degradation effects due to various noise additions did not decrease the recognition rate.

Original language | English |
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Title of host publication | Proceedings of the 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10 |

Pages | 180-185 |

Number of pages | 6 |

Publication status | Published - 1 Dec 2010 |

Event | 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10 - Penang, Malaysia Duration: 23 Mar 2010 → 25 Mar 2010 |

### Publication series

Name | Proceedings of the 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10 |
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### Conference

Conference | 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10 |
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Country | Malaysia |

City | Penang |

Period | 23/03/10 → 25/03/10 |

### Keywords

- Fuzzy distance calculation
- Fuzzy line interpolation
- Fuzzy number
- Fuzzy vector

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## Cite this

*Proceedings of the 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10*(pp. 180-185). (Proceedings of the 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10).