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Research on Face Recognition Based on LBP Features

Abstract

人脸识别是模式识别中的一个很重要的研究领域,是典型的图像模式分析、理解与分类计算问题,具有重要的理论研究价值和广阔的应用前景。近年来,人脸识别领域的研究取得了长足的进展,涌现出了一大批优秀的人脸识别算法,并且在这些算法的基础上开发出了若干用于商业用途的人脸识别系统。 局部二值模式(LBP)是一种图像纹理描述方法,近年来,研究者们成功地将LBP应用于人脸识别任务。LGBP是在基本LBP描述子的基础上,结合了多尺度、多方向的Gabor分解,使得人脸特征描述性能得到进一步增强。尽管LGBP方法在人脸识别中取得了不错的效果,但是该方法仍然存在特征维数过高、以及在复杂光照条件下其性能不够鲁棒等问题。本...Face Recognition is one of the most important research topics in the field of pattern recognition, which has very important theoretical research value and a broad range of potential applications. In recent years, researchers in the field of face recognition have achieved significant progress. A large number of face recognition algorithms have been proposed. On the basis of these algorithms, a numb...学位:工学硕士院系专业:软件学院_计算机软件与理论学号:2432011115227

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