Maximum Scatter Matrix Algorithm Based on Locally Linear Embedding
Mei Mi · Jisuanji gongcheng · 2011
A new expression image feature extraction and recognition method based on Locally Linear Embedding(LLE) and fisher criterion,named FSLLE,is proposed.The algorithm dynamically determines the local neighborhood size by using the relationship between its local estimated geodesic distance matrix and local Euclidean distance matrix and effectively integrated the face manifold local structure information with the labels' information by adjustable factor.The proposed method is tested and evaluated using the JAFFE face expression database.Experimental results show that FSLEE validate the proposed approach and is more powerful for expression recognition.