Development of fuzzy manifold and fuzzy nearest distance for pose estimation of degraded face images

Benyamin Kusumo Putro, Brahmastro Kresnaraman, Lina

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

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 languageEnglish
Title of host publicationProceedings of the 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10
Pages180-185
Number of pages6
Publication statusPublished - 1 Dec 2010
Event9th WSEAS International Conference on Applications of Computer Engineering, ACE '10 - Penang, Malaysia
Duration: 23 Mar 201025 Mar 2010

Publication series

NameProceedings of the 9th WSEAS International Conference on Applications of Computer Engineering, ACE '10

Conference

Conference9th WSEAS International Conference on Applications of Computer Engineering, ACE '10
CountryMalaysia
CityPenang
Period23/03/1025/03/10

Keywords

  • Fuzzy distance calculation
  • Fuzzy line interpolation
  • Fuzzy number
  • Fuzzy vector

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  • Cite this

    Putro, B. K., Kresnaraman, B., & Lina (2010). Development of fuzzy manifold and fuzzy nearest distance for pose estimation of degraded face images. In 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).