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In this paper, a hybrid visual feature extraction method that combines the extended locally linear embedding (LLE) with visemic linear discriminant analysis (LDA) was presented for the audio-visual speech recognition (AVSR). Firstly the extended LLE is presented to reduce the dimension of the mouth images, which constrains the scope of finding mouth data neighborhood to the corresponding individual's...
This paper presents work towards recognizing facial expressions that are used in sign language recognition. Facial features are tracked to effectively capture temporal visual cues on the signer's face during signing. A Bayesian framework is proposed as a feedback mechanism to the Kanade-Lucas-Tomasi (KLT) tracker for reliably tracking facial features in the presence of head motions and temporary occlusions...
Facial expression recognition can be divided into three steps: face detection, expression feature extraction and expression categorization. Facial expression feature extraction and categorization are the most key issue. To address this issue, we propose a method to combine local binary pattern (LBP) and embedded hidden markov model (EHMM), which is the key contribution of this paper. This paper first...
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