Facial Expression Recognition via Locally Linear Embedding

摘要：

Locally linear embedding is an unsupervised procedure for mapping high-dimensional data nonlinearly to a lower-dimensional space.In this paper,we propose the facial expression recognition using LLE algorithm based on Gabor filters.In our framework,data are convolved with Gabor filters firstly,and then construct more discriminative information; finally,the neighbor of data is used to construct the embedding for classification problems.For demonstrating the effectiveness of our method,we use comprehensive comparisons and extensive experiments on facial expression recognition in comparing our method with traditional linear method PCA.Experimental results show that our method is better performance than linear method.

作者: Xiaohua Huang Chunmao Wang Lili Ma Wenming Zheng

作者单位: Research Center for Learning Science,Southeast University,Nanjing,China,210096 School of Biological Science and Medical Engineering,Southeast University,China,210096

会议类型: 国际会议

会议名称: 2008亚太心智、脑和教育学术会议(Asia-Pacific Conference on Mind Brain and Education 2008)

会议地点: 南京

会议语种:英文

页码: 353-357

在线出版日期: 2008-10-25（万方平台首次上网日期，不代表论文的发表时间）