激光与光电子学进展, 2018, 55 (4): 041013, 网络出版: 2018-09-11   

基于AR-WLD和分块相似度加权的遮挡表情识别 下载: 883次

Occluded Facial Expression Recognition Based on Asymmetric Region Weber Local Descriptor and Block Similarity Weighting
作者单位
1 合肥工业大学计算机与信息学院 情感计算与先进智能机器安徽省重点实验室, 安徽 合肥 230009
2 德岛大学先端技术科学教育部, 日本 德岛 7708502
摘要
针对非约束环境下,局部遮挡可能会对表情识别造成干扰并影响最终判别结果的问题,提出一种基于非对称邻域韦伯局部描述子(AR-WLD)和分块相似度加权的表情识别算法。在特征描述上,相比传统的韦伯局部描述子 (WLD),AR-WLD将原有的方形邻域扩展成非对称邻域,并进行了多尺度分析,增强了算子的表征能力。在分类判别时,为了区分不同面部区域对表情识别的贡献度,对表情区域进行了不重叠分块;引入了信息熵来衡量不同子块包含的不确定信息,依据信息量定义相似性距离的权重;通过分块相似度加权求和,实现表情判别。在JAFFE库和CK库上的实验结果表明:当表情图像存在遮挡时,AR-WLD可以有效地提高WLD的分类能力和稳健性,分块相似度加权的分类算法则进一步降低遮挡区域对表情识别的干扰。
Abstract
We propose an expression recognition algorithm based on asymmetric region Weber local descriptor (AR-WLD) and block similarity weighting, which can reduce the interference of occlusion area to facial expression recognition and the impacts of the final discriminants in unconstrained environment. In the feature description, compared with the traditional WLD, the AR-WLD extends the original square neighborhood into an asymmetric neighborhood, and enhances the feature analysis in a multiscale. In order to distinguish the contribution of different facial regions to expression recognition, the non-overlapping expression regions are classified in classification discrimination. Information entropy is introduced to measure the uncertain information contained in different sub-blocks, and the weight of similarity distance is defined according to the information amount. The facial expression discrimination is achieved by the block similarity weighted summation. The experimental results on the databases of JAFFE and CK show that the AR-WLD can effectively improve the classification performance and robustness of the WLD when the expression image is partially occluded, and the classification algorithm based on block similarity weighting can further reduce the interference of the occlusion area to facial expression recognition.

王晓华, 陈影, 胡敏, 任福继. 基于AR-WLD和分块相似度加权的遮挡表情识别[J]. 激光与光电子学进展, 2018, 55(4): 041013. Xiaohua Wang, Ying Chen, Min Hu, Fuji Ren. Occluded Facial Expression Recognition Based on Asymmetric Region Weber Local Descriptor and Block Similarity Weighting[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041013.

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