针对基于仿射包的图像集人脸识别方法(AHISD)对于离散数据的敏感性,提出了一种加入LBP的方法.通过LBP的方法对图像进行特征提取,然后再将图像集用仿射包进行建模,在此基础上,通过计算2个模型之间的距离,以达到对人脸进行鉴别和分类的效果.用LBP方法视频数据库(Honda/UCSD)给出了检测结果,有效地提高了识别率.
For affine hull face recognition based on image set(AHISD)is sensitive to outliers,this paper puts forward a new method to joint LBP with image set.Characteristics of the image are extracted by the method of LBP,and then the image set is modeled as affine model.Based on this,calculate the distance between the two models to achieve the face identification and classification.Experiments using this method in the Honda/video database show that it is effective to improve the recognition rate.