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» Meta-Analysis of Face Recognition Algorithms
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194
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MVA
2007
309views Computer Vision» more  MVA 2007»
15 years 3 months ago
Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan ...
144
Voted
PRIS
2007
15 years 5 months ago
Automatic Face Alignment by Maximizing Similarity Score
Accurate face registration is of vital importance to the performance of a face recognition algorithm. We propose a face registration method which searches for the optimal alignment...
Bas Boom, Luuk J. Spreeuwers, Raymond N. J. Veldhu...
156
Voted
PAMI
2012
13 years 6 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens
134
Voted
CVPR
2008
IEEE
16 years 5 months ago
Simultaneous super-resolution and feature extraction for recognition of low-resolution faces
Face recognition degrades when faces are of very low resolution since many details about the difference between one person and another can only be captured in images of sufficient...
Pablo H. Hennings-Yeomans, Simon Baker, B. V. K. V...
136
Voted
ICIP
2009
IEEE
16 years 4 months ago
Face Recognition Using Sift Features
Face recognition has many important practical applications, like surveillance and access control. It is concerned with the problem of correctly identifying face images and assigni...