کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
536947 | 870648 | 2005 | 16 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A facial expression recognition system based on supervised locally linear embedding A facial expression recognition system based on supervised locally linear embedding](/preview/png/536947.png)
In this paper, a facial expression recognition system based on supervised locally linear embedding (SLLE) is introduced. The system consists of three modules: face detection, feature extraction with SLLE and classification. In face detection module, two independent characteristics, skin color characteristic and motion characteristic are used to detect face region, and a trained SVM is used to verify candidate regions. In feature extraction module, SLLE, a supervised learning algorithm that can compute low dimensional, neighborhood-preserving embeddings of high dimensional data is used to reduce data dimension and extract features. In classification module, minimum-distance classifier is used to recognize different expressions. The experiments show that the proposed method is superior to PCA-based method.
Journal: Pattern Recognition Letters - Volume 26, Issue 15, November 2005, Pages 2374–2389