：针对传统Gabor变换在提取表情特征时，冗余较大、特征维数较高的不足，结合ASM

自动特征定位技术，提出了一种基于特征点Gabor特征和ASM 形状特征相融合的面部表情

识别方法．实验表明，两种特征的融合，可有效地利用特征点的局部纹理信息和脸部器官的整

体形状信息，达到了更好的面部表情识另4效果．-: Gabor transform traditional expression feature extraction, the redundancy large feature dimension is high enough, combined with ASM automatic feature location technique, the algorithm based on feature characteristics of Gabor features and the ASM shape fusion of facial expression recognition Methods. Experimental results show that the integration of two features, feature points can effectively use the local texture information and the overall shape of the face organs of information, to achieve a better effect of facial expression understanding the other 4.