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2006
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Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme

9 years 1 months ago
Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme
In this paper, we propose a novel approach for facial expression analysis and recognition. The proposed approach relies on tracked facial actions provided by an appearance-based 3D face tracker. For each universal expression, a dynamical model for facial actions given by an auto-regressive process is learned from training data. We classify a given image in an unseen video into one of the universal facial expression categories using an analysis-synthesis scheme. This scheme uses all models and select the one that provides the most consistent synthesized spatio-temporal facial actions. The dynamical models can be utilized in the tasks of synthesis and prediction. Experiments using unseen videos demonstrated the effectiveness of the developed method.
Fadi Dornaika, Bogdan Raducanu
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where AVSS
Authors Fadi Dornaika, Bogdan Raducanu
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