基于多阈值局部二值模式的人脸识别方法  

Face Recognition Method Based on Multi-Threshold Local Binary Pattern

作　　者：周凯[1] 杨路明[1] 宋虹[1] 曾庆东[1] 邵平[2] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083 [2]玉林师范学院物理与信息科学系,玉林537000

出　　处：《计算机工程》2009年第17期167-169,共3页Computer Engineering

基　　金：湖南省自然科学基金资助项目(05JJ40128)

摘　　要：提出一种基于多阈值局部二值模式(MTLBP)的人脸识别方法。计算图像中每个像素点与其局部邻域点的灰度差,通过选择不同的阈值编码形成MTLBP,采用多区域直方图向量进行人脸特征描述,模糊化多阈值匹配结果进行人脸识别。实验结果表明,该方法能很好地结合人脸的纹理和梯度信息,对表情等变化具有较好的鲁棒性。This paper proposes a method of face recognition, which is based on Multi-Threshold Local Binary Pattem（MTLBP）. The gray-scale difference is calculated between each pixel and its local neighborhoods of an image. Different thresholds are chosen to code the foregoing gray-scale difference. Face image is divided into multi-regions. Histogram vectors extracted from multi-regions are adopted to describe the human face. Face recognition is completed by blurring the matching results. Experimental results show that the proposed method is robust to expression variations by combining texture and grads information.

关 键 词：人脸识别 多阈值局部二值模式 纹理 梯度 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]