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基于多阈值局部二值模式的人脸识别方法
引用本文:周凯,杨路明,宋虹,曾庆东,邵平.基于多阈值局部二值模式的人脸识别方法[J].计算机工程,2009,35(17):167-169.
作者姓名:周凯  杨路明  宋虹  曾庆东  邵平
作者单位: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
基金项目:湖南省自然科学基金资助项目 
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。

关 键 词:人脸识别  多阈值局部二值模式  纹理  梯度
修稿时间: 

Face Recognition Method Based on Multi-Threshold Local Binary Pattern
ZHOU Kai,YANG Lu-ming,SONG Hong,ZENG Qing-dong,SHAO Ping.Face Recognition Method Based on Multi-Threshold Local Binary Pattern[J].Computer Engineering,2009,35(17):167-169.
Authors:ZHOU Kai  YANG Lu-ming  SONG Hong  ZENG Qing-dong  SHAO Ping
Affiliation:1. College of Information Science and Engineering;Central South University;Changsha 410083;2. Department of Physics and Information Science;Yulin Normal College;Yulin 537000
Abstract:This paper proposes a method of face recognition,which is based on Multi-Threshold Local Binary Pattern(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 tha...
Keywords:face recognition  Multi-Threshold Local Binary Pattern(MTLBP)  texture  grads
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