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CVPR
2011
IEEE
9 years 8 months ago
Is face recognition really a Compressive Sensing problem?
Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this w...
Qinfeng Shi, Anders Eriksson, Anton vandenHengel, ...
MVA
1990
124views Computer Vision» more  MVA 1990»
10 years 29 days ago
Face Recognition without Features
We have developed a near-real-time computer system which can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to thos...
Matthew Turk, Alex Pentland
ICB
2009
Springer
142views Biometrics» more  ICB 2009»
10 years 4 months ago
A Random Network Ensemble for Face Recognition
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...
Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun
CVPR
2010
IEEE
10 years 4 months ago
A Novel Markov Random Field Based Deformable Model for Face Recognition
In this paper, a new scheme to address the face recognition problem is proposed. Different from traditional face recognition approaches which represent each facial image by a sing...
Shu Liao, Albert C.S. Chung
AVBPA
2003
Springer
100views Biometrics» more  AVBPA 2003»
10 years 5 months ago
Open World Face Recognition with Credibility and Confidence Measures
This paper describes a novel framework for the Open World face recognition problem, where one has to provide for the Reject option. Based upon algorithmic randomness and transducti...
Fayin Li, Harry Wechsler
ECCV
2006
Springer
11 years 1 months ago
Inter-modality Face Recognition
Recently, the wide deployment of practical face recognition systems gives rise to the emergence of the inter-modality face recognition problem. In this problem, the face images in ...
Dahua Lin, Xiaoou Tang
ICCV
2001
IEEE
11 years 1 months ago
Pairwise Face Recognition
We develop a pairwise classification framework for face recognition, in which a class face recognition problem is divided into a set of ? ?? ? two class problems. Such a problem...
Guodong Guo, HongJiang Zhang, Stan Z. Li
CVPR
2008
IEEE
11 years 1 months ago
Learning patch correspondences for improved viewpoint invariant face recognition
Variation due to viewpoint is one of the key challenges that stand in the way of a complete solution to the face recognition problem. It is easy to note that local regions of the ...
Ahmed Bilal Ashraf, Simon Lucey, Tsuhan Chen
CVPR
1998
IEEE
11 years 1 months ago
Probabilistic Reasoning Models for Face Recognition
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
Chengjun Liu, Harry Wechsler
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