摘要
针对传统界面表现不清晰,编程语句繁琐的问题,基于Lab VIEW软件设计了系统的面部表情识别界面。对面部表情识别系统设计中的关键问题进行探讨,利用Matlab,应用离散小波理论算法进行表情图像特征提取,并采用弹性模版匹配算法进行情绪识别。实验结果表明,基于Lab VIEW的面部表情识别系统,应用Lab VIEW软件简单的语句设计了清晰互动的界面,其识别率可达到85%以上。
The traditional interface performance is not clear, and the programming statements are tedious. We design the interface of facial expression recognition system based on the NI company LabVIEW software, and discuss the key problems in the design of facial expression recognition system, then use efficient Matlab processing software engineering, to extract expression image feature, using the theory of discrete wavelet algorithm and the of flexible template matching algorithm is used to identify the emotion. The experimental results show that the design based on LabVIEW facial expression recognition system uses the LabVIEW software simple statement to design a clear interactive interface, and the recognition rate can reach more than 85%.
出处
《吉林大学学报（信息科学版）》
CAS
2015年第6期714-718,共5页
Journal of Jilin University（Information Science Edition）
基金
吉林省自然科学基金资助项目(201215110)
关键词
面部表情
情绪识别
小波算法
弹性模版匹配
界面设计
facial expression
emotion recognition
wavelet algorithms
flexible template matching
interface design
