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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Détails bibliographiques
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
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Auteur principal: |
Punnappurath, Abhijith
(Auteur) |
Autres auteurs: |
Rajagopalan, Ambasamudram Narayanan,
Taheri, Sima,
Chellappa, Rama,
Seetharaman, Guna |
Format: | Article en ligne
|
Langue: | English |
Publié: |
2015
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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. |