Alt-uzay tabanlı çözünürlülük arttırma yöntemleri ile videodan yüz tanıma=subspace-based super-resolution for face recognition from video
||The system is temporarily closed to updates for reporting purpose.
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
Official URL: http://ieeexplore.ieee.org/iel5/11023/34756/01659905.pdf?isnumber=34756&arnumber=1659905
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.
Repository Staff Only: item control page