Face recognition across non-uniform motion blur, illumination, and pose

Existing methods for performing face recognition in the presence of blur are based on the convolution model and cannot handle non-uniform blurring situations that frequently arise from tilts and rotations in hand-held cameras. In this paper, we propose a methodology for face recognition in the prese...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 7 vom: 01. Juli, Seite 2067-82
Auteur principal: Punnappurath, Abhijith (Auteur)
Autres auteurs: Rajagopalan, Ambasamudram Narayanan, Taheri, Sima, Chellappa, Rama, Seetharaman, Guna
Format: Article en ligne
Langue:English
Publié: 2015
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article Research Support, U.S. Gov't, Non-P.H.S.