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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chetty, G. |
| Copyright Year | 2008 |
| Description | Author affiliation: Fac. of Inf. Sci. & Eng., Univ. of Canberra, Canberra, ACT (Chetty, G.) |
| Abstract | In this paper, a two stage facial expression rating and classification technique for facial is proposed, as the intensity of an emotion evolves from neutral to high expression. The face is modeled as a combination of sectors and their boundaries. An expression change in a face is characterised and quantified through a combination of non-rigid deformations. After elastic interpolation, this yields a geometry-based high-dimensional 2D shape transformation, which is used to register regions defined on query-faces. This shape transformation produces a vector-valued deformation field and is used to define a scalar valued Sector Volumetric Difference (SVD) function, which characterises and quantifies the facial expression. A two-stage expression classification is used with first stage detecting low, medium and high levels of expressions, and the second stage involving a HMM-classifier for recognizing six different facial emotions-anger, disgust, fear, happiness, sadness and surprise. Further, the proposed shape transformation approach is compared with marker based extraction method for extracting facial expression features. The performance evaluation done on a Italian audiovisual emotion database DaFex[1,2], comprising facial expression data from several actors eliciting five different emotions - anger, disgust, fear happiness, sadness and surprise at different intensities (low, medium and high), shows a significant improvement in expression classification for the proposed shape-transformation approach. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 2618291 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424442430 |
| DOI | 10.1109/ICSPCS.2008.4813754 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-15 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Emotion recognition Audio databases Shape Face recognition Hidden Markov models Feature extraction Spatial databases Data mining Face detection |
| Content Type | Text |
| Resource Type | Article |
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