Alt-uzay tabanlı çözünürlülük arttırma yöntemleri ile videodan yüz tanıma=subspace-based super-resolution for face recognition from video

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Erçil, Aytül and Sezer, Osman Gökhan and Altunbaşak, Yücel (2006) Alt-uzay tabanlı çözünürlülük arttırma yöntemleri ile videodan yüz tanıma=subspace-based super-resolution for face recognition from video. In: SIU 2006, Antalya

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Abstract

Performance of current face recognition algorithms reduces significantly when they are applied to low-resolution face images. To handle this problem, superresolution techniques can be applied either in the pixel domain or in the face subspace. Since face images are high dimensional data which are mostly redundant for the face recognition task, feature extraction methods that reduce the dimension of the data are becoming standard for face analysis. Hence, applying superresolution in this feature domain, in other words in face subspace, rather than in pixel domain, brings many advantages in computation together with robustness against noise and motion estimation errors. Therefore, we propose new superresolution algorithms using Bayesian estimation and projection onto convex sets methods in feature domain and present a comparative analysis of the proposed algorithms and those already in the literature.
Item Type: Papers in Conference Proceedings
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Aytül Erçil
Date Deposited: 20 Dec 2006 02:00
Last Modified: 26 Apr 2022 08:31
URI: https://research.sabanciuniv.edu/id/eprint/1162

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