التفاصيل البيبلوغرافية
| العنوان: |
Bayesian Face Recognition Based on Markov Random Field Modeling. |
| المؤلفون: |
Wang, Rui, Lei, Zhen, Ao, Meng, Li, Stan Z. |
| المصدر: |
Advances in Biometrics: Third International Conference, Icb 2009, Alghero, Italy, June 2-5, 2009. Proceedings; 2009, p42-51, 10p |
| مستخلص: |
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships between them are explored and encoded into a cost function derived based on a statistical model of MRF. Gabor wavelet coefficients are used as the base features, and relationships between Gabor features at different pixel locations are used to provide higher order contextual constraints. The posterior probability of matching configuration is derived based on MRF modeling. Local search and discriminate analysis are used to evaluate local matches, and a contextual constraint is applied to evaluate mutual matches between local matches. The proposed MRF method provides a new perspective for modeling the face recognition problem. Experiments demonstrate promising results. [ABSTRACT FROM AUTHOR] |
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Copyright of Advances in Biometrics: Third International Conference, Icb 2009, Alghero, Italy, June 2-5, 2009. Proceedings is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
