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Facial deblur inference to improve recognition of blurred fFaces.

, , , , and . CVPR, page 1115-1122. IEEE Computer Society, (2009)

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Facial feature localization using weighted vector concentration approach., , , and . Image Vis. Comput., 28 (5): 772-780 (2010)Alignment of 3D Shape Data by Hashing Sets of Feature Points., , and . MVA, page 120-123. (2011)An Efficient 3D Geometrical Consistency Criterion for Detection of a Set of Facial Feature Points., , and . IEICE Trans. Inf. Syst., 91-D (7): 1871-1877 (2008)Facial feature localization usingweighted vector concentration approach., , , and . FG, page 1-6. IEEE Computer Society, (2008)Face Recognition Using Multi-viewpoint Patterns for Robot Vision., and . ISRR, volume 15 of Springer Tracts in Advanced Robotics, page 192-201. Springer, (2003)Pattern hashing - object recognition based on a distributed local appearance model., and . ICIP (3), page 329-332. IEEE, (2002)Face Recognition Using Temporal Image Sequence., , and . FG, page 318-323. IEEE Computer Society, (1998)COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation., , , and . ICCV, page 3253-3261. IEEE Computer Society, (2015)An Efficient 3D Geometrical Consistency Criterion for Detection of a Set of Facial Feature Points., , and . MVA, page 25-28. (2007)The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition., and . ACCV (2), volume 4844 of Lecture Notes in Computer Science, page 467-476. Springer, (2007)