计算机技术与发展2012，Vol.22Issue(2)：96-99,4.
基于混合特征提取的人脸情感识别研究
Studies on Facial Expression Recognition Based on Hybrid Features Extraction
摘要
Abstract
In order to improve the impact of the feature extraction on the rate of the face recognition,overall deformation features are extracted by AAM, texture features of the eyebrows and eyes areas are extracted by Gabor wavelet transformation, and template matching is used to extract the texture features of the mouth area. And then discrete HMM is adopted to get the expression probability of each feature. In the stage of recognition, the results are fused by the contribution to the six kinds of expressions of each feature with its weight obtained by contribution analysis algorithm, and then choose the maximal probability as the final result. Through the training and experiment on 10 women of their 6 kinds of expression, the method has good recognition rate.关键词
特征提取/表情识别/隐马尔科夫模型Key words
feature extraction/facial recognition/hidden Markov model分类
信息技术与安全科学引用本文复制引用
陈开云,高珏,孙柏林,许华虎..基于混合特征提取的人脸情感识别研究[J].计算机技术与发展,2012,22(2):96-99,4.基金项目
国家科技部863计划项目(2007AA041604) （2007AA041604）
