A facial expression recognition system based on supervised locally linear embedding
作者： Dong Liang , Jie Yang , Zhonglong Zheng , Yuchou Chang
DOI: 10.1016/J.PATREC.2005.04.011
关键词:
摘要: In this paper, a facial expression recognition system based on supervised locally linear embedding (SLLE) is introduced. The consists of three modules: face detection, feature extraction with SLLE and classification. detection module, two independent characteristics, skin color characteristic motion are used to detect region, trained SVM verify candidate regions. SLLE, learning algorithm that can compute low dimensional, neighborhood-preserving embeddings high dimensional data reduce dimension extract features. classification minimum-distance classifier recognize different expressions. experiments show the proposed method superior PCA-based method.
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