Automatic Facial Expression Recognition Using Local Binary Pattern
In this paper, an efficient method for human facial expression recognition is presented based on LBP descriptor. Firstly, the face normalization is employed in order to improve the efficiencies of extracting facial features. Then, the feature blocks which mainly contain the eyes and mouth were obtained, and each feature block image was divided into several overlapping sub-regions equally to extract LBP histograms. After that, the PCA method is used to learn the structure of the expression in the LBP feature space. Finally, the recognition experiment is conducted on the JAFFE facial expression database by using the nearest neighbor classifier. Experimental result shows competitive performance.
Wencheng Wang Faliang Chang Jianguo Zhao Zhenxue Chen
School of Control Science and Engineering Shandong University Jinan, Shandong Province, 250061,China School of Control Science and Engineering Shandong University Jinan, Shandong Province, 250061,China
国际会议
The 8th World Congress on Intelligent Control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)
济南
英文
6375-6378
2010-07-07（万方平台首次上网日期，不代表论文的发表时间）