IEICE TRANSACTIONS on Information
Study of Facial Features Combination Using a Novel Adaptive Fuzzy Integral Fusion Model
Summary :
A new adaptive model based on fuzzy integrals has been presented and used for combining three well-known methods, Eigenface, Fisherface and SOMface, for face classification. After training the competence estimation functions, the adaptive mechanism enables our system the filtering of unsure judgments of classifiers for a specific input. Comparison with classical and non-adaptive approaches proves the superiority of this model. Also we examined how these features contribute to the combined result and whether they can together establish a more robust feature.
- Publication
- IEICE TRANSACTIONS on Information Vol.E91-D No.7 pp.1863-1870
- Publication Date
- 2008/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e91-d.7.1863
- Type of Manuscript
- Special Section PAPER (Special Section on Machine Vision and its Applications)
- Category
Authors
Keyword
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M. Mahdi GHAZAEI ARDAKANI, Shahriar BARADARAN SHOKOUHI, "Study of Facial Features Combination Using a Novel Adaptive Fuzzy Integral Fusion Model" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 7, pp. 1863-1870, July 2008, doi: 10.1093/ietisy/e91-d.7.1863.
Abstract: A new adaptive model based on fuzzy integrals has been presented and used for combining three well-known methods, Eigenface, Fisherface and SOMface, for face classification. After training the competence estimation functions, the adaptive mechanism enables our system the filtering of unsure judgments of classifiers for a specific input. Comparison with classical and non-adaptive approaches proves the superiority of this model. Also we examined how these features contribute to the combined result and whether they can together establish a more robust feature.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.7.1863/_p
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@ARTICLE{e91-d_7_1863,
author={M. Mahdi GHAZAEI ARDAKANI, Shahriar BARADARAN SHOKOUHI, },
journal={IEICE TRANSACTIONS on Information},
title={Study of Facial Features Combination Using a Novel Adaptive Fuzzy Integral Fusion Model},
year={2008},
volume={E91-D},
number={7},
pages={1863-1870},
abstract={A new adaptive model based on fuzzy integrals has been presented and used for combining three well-known methods, Eigenface, Fisherface and SOMface, for face classification. After training the competence estimation functions, the adaptive mechanism enables our system the filtering of unsure judgments of classifiers for a specific input. Comparison with classical and non-adaptive approaches proves the superiority of this model. Also we examined how these features contribute to the combined result and whether they can together establish a more robust feature.},
keywords={},
doi={10.1093/ietisy/e91-d.7.1863},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - Study of Facial Features Combination Using a Novel Adaptive Fuzzy Integral Fusion Model
T2 - IEICE TRANSACTIONS on Information
SP - 1863
EP - 1870
AU - M. Mahdi GHAZAEI ARDAKANI
AU - Shahriar BARADARAN SHOKOUHI
PY - 2008
DO - 10.1093/ietisy/e91-d.7.1863
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2008
AB - A new adaptive model based on fuzzy integrals has been presented and used for combining three well-known methods, Eigenface, Fisherface and SOMface, for face classification. After training the competence estimation functions, the adaptive mechanism enables our system the filtering of unsure judgments of classifiers for a specific input. Comparison with classical and non-adaptive approaches proves the superiority of this model. Also we examined how these features contribute to the combined result and whether they can together establish a more robust feature.
ER -
English
