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FGR
2008
IEEE
221views Biometrics» more  FGR 2008»
14 years 1 months ago
Markovian mixture face recognition with discriminative face alignment
A typical automatic face recognition system is composed of three parts: face detection, face alignment and face recognition. Conventionally, these three parts are processed in a b...
Ming Zhao 0003, Tat-Seng Chua
ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
15 years 13 days ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...
ICPR
2008
IEEE
14 years 1 months ago
Face super-resolution using 8-connected Markov Random Fields with embedded prior
In patch based face super-resolution method, the patch size is usually very small, and neighbor patches’ relationship via overlapped regions is only to keep smoothness of recons...
Kai Guo, Xiaokang Yang, Rui Zhang, Guangtao Zhai, ...
INTERSPEECH
2010
13 years 2 months ago
Can tongue be recovered from face? the answer of data-driven statistical models
This study revisits the face-to-tongue articulatory inversion problem in speech. We compare the Multi Linear Regression method (MLR) with two more sophisticated methods based on H...
Atef Ben Youssef, Pierre Badin, Gérard Bail...
FGR
2004
IEEE
220views Biometrics» more  FGR 2004»
13 years 11 months ago
Integration of 2D and 3D Images for Enhanced Face Authentication
This paper presents a complete face authentication system integrating 2D intensity and 3D range data, based on a low-cost, real-time structured light sensor. Novel algorithms are ...
Filareti Tsalakanidou, Sotiris Malassiotis, Michae...