Name
Abstract | ||
|---|---|---|
In this paper, we proposes an effective and novel approach to recognize subtle facial expression method which is facial expression deformation. The proposed method deforms subtle facial expressions into corresponding extreme facial expressions. Facial expression deformation processes by extracting subtle motion vector of the predefined feature points and amplifying them. A), adding amplified motion vector to Active Appearance Models (AAMs) fitted feature points, the extreme facial expression images is recovered (obtained) by, the piece-wise affine warping. After facial expression defibrination, we extract the shape and appearance features by projecting deformed facial expression image to the AAM shape and appearance model. We use the multi-class Support Vector Machines (SVMs) to classify the shape and appearance features. The facial expression recognition performance shows promising results of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761398 | 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 |
Keywords | Field | DocType |
support vector machine,tracking,robots,feature extraction,support vector machines,facial expression,active appearance model,databases,face recognition,shape,fitting | Affine transformation,Computer vision,Facial recognition system,Image warping,Pattern recognition,Computer science,Support vector machine,Active appearance model,Feature extraction,Facial expression,Artificial intelligence,Motion vector | Conference |
ISSN | Citations | PageRank |
1051-4651 | 5 | 0.48 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sungsoo Park | 1 | 49 | 3.26 |
| Jongju Shin | 2 | 53 | 6.13 |
| Daijin Kim | 3 | 1882 | 126.85 |