Divided Local Binary Pattern (DLBP) Features Description Method For Facial Expression Recognition
Hua Lu · Journal of Information and Computational Science · 2014
This paper presents a new method for facial expression recognition using divided local binary pattern features. Motivated by Fourier’s parity decomposition, we decompose a LBP descriptor into two subdescriptors. This method reduces the amount of data of the feature extraction, reducing the data dimension effectively. Experimental results on JAFFE facial expression database show that the proposed method can get significant performance improvement in recognition rate, reduce the recognition time greatly.