计算机工程与应用2017，Vol.53Issue(4)：163-169,194,8.DOI:10.3778/j.issn.1002-8331.1507-0048
判别性完全局部二值模式人脸表情识别
Facial expression recognition based on discriminative CLBP
摘要
Abstract
To overcome high dimension and characteristic redundancy of CLBP features which result in the decrease of recognition speed and low recognition rate, this paper proposes an algorithm for facial expression recognition based on discriminative Completed Local Binary Pattern(disCLBP). First of all, the facial expression sub-regions are isolated by a preprocessing step;then sub-regions and the global facial expression images are extracted by disCLBP, and different features are filtered for different expressions. After that cascade histograms are generated by associating the histograms of the filtered features of the images and the sub-regions. In the end, filtered features are classified by nearest neighbor classifier. Theac-curacy of the experiment on the facial expression database of CK is 97%.关键词
完全局部二值模式(CLBP)/有判别力的完全局部二值模式(disCLBP)/表情识别/最近邻Key words
Completed Local Binary Pattern(CLBP)/discriminative Completed Local Binary Pattern(disCLBP)/facial expression/nearest neighbor分类
信息技术与安全科学引用本文复制引用
周宇旋,吴秦,梁久祯,王念兵,李文静..判别性完全局部二值模式人脸表情识别[J].计算机工程与应用,2017,53(4):163-169,194,8.基金项目
国家自然科学基金(No.61202312,No.61170121) （No.61202312,No.61170121）
教育部留学回国人员科研启动基金项目. （）
