计算机工程与应用2019，Vol.55Issue(12)：1-6,6.DOI:10.3778/j.issn.1002-8331.1803-0249
结合分块LBP与投影字典对学习的表情识别
Facial Expression Recognition Combined with Block LBP and Projective Dictionary Pair Learning
摘要
Abstract
Aiming at the excessive costs of the solving process of the l1-norm sparsity constraint on the representation coefficients, which is used in dictionary learning and classification, a new method is proposed, combining blocking LBP feature and projective dictionary pair learning to recognize the facial expression, at the meantime, to obtain more efficient facial expression-related features for dictionary learning. The blocking LBP feature of the image is extracted to replace the original data sample for training and testing. Then, this paper learns an analysis dictionary and a synthesis dictionary, and the former can obtain the representation coefficient while the latter possesses refactoring capability. Both synthesis diction-ary and analysis dictionary are used to calculate the reconstruction error of each category and classify them, and facial expression recognition is achieved consequently. According to the experimental results in the JAFFE and CK+databases, compared with other methods, this proposed method not only can greatly reduce the time complexity of training and test-ing phases, but also can achieve higher recognition rate in classification tasks.关键词
结构化字典/分块LBP特征/综合字典/分析字典/判别式字典Key words
structured dictionary/ block LBP feature/ synthesis dictionary/ analysis dictionary/ discriminative dictionary分类
信息技术与安全科学引用本文复制引用
张哲源,张灵,陈云华..结合分块LBP与投影字典对学习的表情识别[J].计算机工程与应用,2019,55(12):1-6,6.基金项目
广东省交通运输厅科技项目(No.科技-2016-02-030) （No.科技-2016-02-030）
广东省自然科学基金(No.2016A030313703,No.2016A030313713) （No.2016A030313703,No.2016A030313713）
广东省科技计划项目(No.2016B030305002) （No.2016B030305002）
广东省科技计划产学研项目(No.2017B090901005). （No.2017B090901005）
