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ICB
2009
Springer
412views Biometrics» more  ICB 2009»
15 years 7 months ago
Bayesian Face Recognition Based on Markov Random Field Modeling
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li
115
Voted
CVPR
2007
IEEE
16 years 2 months ago
Capturing People in Surveillance Video
This paper presents reliable techniques for detecting, tracking, and storing keyframes of people in surveillance video. The first component of our system is a novel face detector ...
Rogerio Feris, Ying-li Tian, Arun Hampapur
83
Voted
ICMI
2007
Springer
112views Biometrics» more  ICMI 2007»
15 years 6 months ago
How to distinguish posed from spontaneous smiles using geometric features
Automatic distinction between posed and spontaneous expressions is an unsolved problem. Previously cognitive sciences’ studies indicated that the automatic separation of posed f...
Michel François Valstar, Hatice Gunes, Maja...
117
Voted
ICPR
2010
IEEE
15 years 20 days ago
Decision Fusion for Patch-Based Face Recognition
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
Berkay Topcu, Hakan Erdogan
ICPR
2008
IEEE
15 years 7 months ago
Scale invariant face recognition using probabilistic similarity measure
In video surveillance, the size of face images is very small. However, few works have been done to investigate scale invariant face recognition. Our experiments on appearance-base...
Zhifei Wang, Zhenjiang Miao