基于高级局部二元模式直方图映射的表情识别

Facial Expression Recognition Based on Advanced Local Binary Pattern Histogram Projection

提出高级局部二元模式直方图映射(ALBPHP)方法,将标记信息完整且标记位置统一的高级局部二元模式(ALBP)直方图映射到局部保持投影(LPP)空间获得低维ALBPHP特征.相比于ALBP特征,ALBPHP特征不仅维数低而且在表征人脸图像时具有更强的鉴别力.在JAFFE和Cohn-Kanade两个人脸表情库上对ALBPHP和ALBP方法比较验证,结果表明:采用相同的分类器时ALBPHP的识别率总是高于ALBP.

A method of advanced local binary pattern histogram projection （ALBPHP） is proposed. It projects advanced local binary pattern （ALBP） histogram, which has complete label information and unified label position, onto locality preserving projection （LPP） space to get the lower dimensional ALBPHP feature. Compared with ALBP feature, ALBPHP feature has lower dimensionality and stronger discriminative power in representing face image. Comparative experiments on JAFFE database and Cohn-Kanade database demonstrate that the recognition rate of ALBPHP is higher than that of ALBP when same classifiers are used.