资料下载
用隐马尔可夫模型设计人脸表情识别系统
南风一号
分享资料个
根据隐马尔可夫模型(HMM)的基本理论和算法设计了一个人脸表情识别系统。该系统由两层HMM组成：低层由六个HMM组成，分别对应六种特定表情。人脸表情特征向量进入系统后，经过低层HMM初步识别，其结果组成高层HMM的观察向量，经过高层HMM解码，确认出表情，从而提高了系统的识别率，增强了系统的健壮性。
Hidden Markov Model(HMM) is a widely used statistical model.This paper deal with the design of a recognition system for facial expression in the light of the principal theory and algorithm of the HMM.The system consists of two levels of HMM,with the low level composed of six HMM,corresponding to six expression-specific.The vectors of the facial expression features,after put into the system,is primarily identified through the low HMMsand result in the observation vectors of the high level of the HMM.Through deciphering of the HMM,the expression are identified,thus enhancing the recognition rate and strengthening the system to a higher level.
声明：本文内容及配图由入驻作者撰写或者入驻合作网站授权转载。文章观点仅代表作者本人，不代表电子发烧友网立场。文章及其配图仅供工程师学习之用，如有内容侵权或者其他违规问题，请联系本站处理。 举报投诉
- 相关下载
- 相关文章
