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人脸识别技术研究(毕业论文).doc


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摘要
人脸识别是一个具有很高理论和应用价值的研究课题。人脸是人类视觉中最为普遍的模式,它所反映的视觉信息在人与人的交流和交往中有着及其重要的作用意义。人脸的特殊性,使得人脸识别技术成为最具潜力的身份识别方式。人脸识别技术应用广泛,并且日益受到人们的广泛关注并成为模式识别领域研究的热点。同时人脸识别又是一个复杂和困难的课题,其原因有:人脸是由复杂的三维曲面构成的可变形体,难以用数学描述;所有的人脸结构高度相似,而人脸图像又易受年龄和成像条件的影响。人脸识别涉及的技术很多,其中关键的是特征提取和分类方法,本文就以此为重点进行了相关研究。
主要工作包括以下几个方面:
,提出了一利”有效的基于ICA的人脸整体特征提取方法;
,提出了一种改进的FastICA算法,该算法通过减少耗时的雅可比矩阵求逆的次数,进一步加快了收敛速度;

关键词:人脸识别主分量分析;独立分量分析;隐马尔可夫模型;支持向量机
Abstract
Face recognition has very lagre academic and praetieal values. In daily lief,people kowing each other uses at most of person’s is the most familiar model in human visual inofmration refleeted by face has important meaning and impact between people’s munion and intercourse. Because of its extensive and applied realm,face recognition technique has got the extensive concern with study in near three decades and e the most potential method of identity recognition. At the same time,it is difficult to implement face recognition puters. First,human face is a deformable posed plex 3D curve surfaces,Which is hard to be represented in form of mathematics. Secondly faces of different persons have the similar strueture,and the face images are greatly dependent on ages and photography paper mainly study face extraction and class method,which concept can be summarized as ofllows.
Because face image is liable to impact of varieties and face is nonrigid and similar Accurate face recognition is is still lone distance between face recognition and progress puter technology,pattern recognition,human intelligent and biologic psyehology,vision mechanism surely promote face recognition develop.
Keywords:face reeognition,ponent Analysis,ponent Analysis,Hidden Markov Models,Support Vector Maehines
目录
第1章引言 6
6
人脸识别技术的广泛应用 6
8
8
9
9
10

人脸识别技术研究(毕业论文) 来自淘豆网www.taodocs.com转载请标明出处.

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  • 时间2018-11-06