Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel image-based facial expression recognition method called "expression transition" to identify six kinds of facial expressions (anger, fear, happiness, neutral, sadness, and surprise) at low-resolution images. Two approaches: direct mapping and singular value decomposition (SVD) are applied to calculate the expression transition matrices. The transformed images with a set of expression transition matrices are compared to identify the facial expressions. The experimental results show that the proposed facial expression recognition system can recognize 120 test images in the Chon-Kanade facial expression database with high accuracy and efficiency. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IIH-MSP.2006.10 | IIH-MSP |
Keywords | Field | DocType |
facial expression recognition method,expression transition,low-resolution image,proposed facial expression recognition,expression transition matrix,facial expression,low-resolution images,fast facial expression recognition,chon-kanade facial expression database,direct mapping,high accuracy,bismuth,linear discriminant analysis,image analysis,independent component analysis,matrix decomposition,image recognition,pattern recognition,singular value decomposition,face recognition,low resolution | Sadness,Singular value decomposition,Computer vision,Facial recognition system,Face hallucination,Pattern recognition,Computer science,Matrix decomposition,Facial expression,Independent component analysis,Artificial intelligence,Linear discriminant analysis | Conference |
ISBN | Citations | PageRank |
0-7695-2745-0 | 1 | 0.46 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cheng-Chang Lien | 1 | 128 | 13.15 |
| Yang-Kai Chang | 2 | 1 | 0.46 |
| Chih-Chiang Tien | 3 | 1 | 0.46 |