| 基于LTP子模式的人脸识别研究 |
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| 引用本文： | 霍天霖,王莹.基于LTP子模式的人脸识别研究[J].吉林工程技术师范学院学报,2012,28(5):77-80. |
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| 作者姓名： | 霍天霖 王莹 |
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| 作者单位： | 1. 吉林大学软件学院,吉林长春,130012
2. 吉林大学计算机科学与技术学院,吉林长春,130012 |
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| 摘 要： | 针对局部三元模式提取到的人脸特征通常具有较高的维数,导致特征的紧致度不高,提出一种新的局部人脸特征提取方法——LTP子模式,并结合线性鉴别分析获得最佳的人脸局部纹理紧致特征的分类投影轴.本文在ORL和AR两个标准人脸库上测试,LTP-SP提取到的人脸特征维数不到原LTP特征的30％,但是识别性能却优于原始算法,因此算法具有较好的应用前景.
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| 关 键 词： | 人脸识别 局部三元模式 局部特征 维数约减 |
Face Recognition Based on Local Ternary Pattern Sub-pattern |
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| HUO Tian-lin
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WANG Ying.Face Recognition Based on Local Ternary Pattern Sub-pattern[J].Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition),2012,28(5):77-80. |
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| Authors: | HUO Tian-lin WANG Ying |
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| Institution: | 1.College of Software,Jilin University,Changchun Jilin 130012,China;2.College of Computer Science and Technology,Jilin University,Changchun Jilin 130012,China) |
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| Abstract: | Face recognition algorithms based on Local Ternary Pattern(LTP) have the problem that the face features extracted by LTP are high-dimensionality.The LTP features are always low compacted.Aiming to resolve this problem,in this paper,we propose a new local feature extraction method called Local Ternary Pattern Subpattern(LTP-SP) approach.Analysis is employed to reduce the feature vector dimensionality,and the optimal classification projection axes of face local texture features is obtained using Linear Discriminant Analysis.Testing on ORL and AR face database,the experimental results show that the dimensionality of the proposed LTP-SP feature is only about 30% of the original LTP feature,but the recognition of the LTP-SP method is superior to the LTP method.So the proposed method has good application prospects. |
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| Keywords: | face recognition local ternary pattern local features dimensionality reduction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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