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Facial expression analysis from video sequences has been an active research area from the last two decades. There are plenty of algorithms for classification of six prototypic facial expressions from video sequences. In present paper we have proposed a novel method of hierarchical clustering for classification of facial expressions. The optical flow algorithm is used for detection of muscle movement...
As sole feature extraction method cannot reflect comprehensive face emotional information in expression recognition, this article proposes one kind expression recognition method based on VLBP and optical flow mixed features. In this method, firstly it extracts block vlbp features of eye region. Then it detects feature points of mouth region automatically and extracts optical flow feature vector of...
This paper proposes a novel spontaneous facial expression classification method using the facial motion magnification which transforms the subtle facial expressions into the corresponding exaggerated facial expressions. Facial motion magnification consists of four steps: First, we perform the active appearance model (AAM) fitting to extract 70 facial feature points in the face image sequence. Second,...
We have investigated a technique for recognising faces invariant of facial expressions. We apply multi-linear tensor algebra, which subsumes linear algebra, to analyse and recognise 3D face surfaces. This potent framework possesses a remarkable ability to deal with the shortcomings of principle component analysis in less constrained situations. A set of vector spaces can be used to represent the variation...
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