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计算机工程 ›› 2012, Vol. 38 ›› Issue (16): 14-17. doi: 10.3969/j.issn.1000-3428.2012.16.004

• 专栏 • 上一篇    下一篇

基于判别等度规映射的人脸识别

邵艳玲 1,葛 玻 1,2,宋书中 1   

  1. (1. 河南科技大学电子信息工程学院,河南 洛阳 471003;2. 洛阳理工学院,河南 洛阳 471023)
  • 收稿日期:2011-12-30 修回日期:2012-02-24 出版日期:2012-08-20 发布日期:2012-08-17
  • 作者简介:邵艳玲(1987-),女,硕士研究生,主研方向:图像处理,模式识别;葛 玻,教授;宋书中,教授、博士
  • 基金资助:

    河南省高等学校青年骨干教师资助计划基金资助项目(2011GGJS-173)

Face Recognition Based on Discriminant Isometric Projection

SHAO Yan-ling 1, GE Bo 1,2, SONG Shu-zhong 1   

  1. (1. College of Electronic Information Engineering, Henan University of Science and Technology, Luoyang 471003, China; 2. Luoyang Institute of Science and Technology, Luoyang 471023, China)
  • Received:2011-12-30 Revised:2012-02-24 Online:2012-08-20 Published:2012-08-17

摘要:

等度规映射算法旨在最大限度地保持样本间距离,没有考虑样本的类判别信息。针对该问题,提出一种基于判别等度规映射的人脸识别算法。在等度规映射算法的基础上,引入最大散度差准则,得到优化的目标函数。在嵌入低维子空间后,同类样本保持其固有的近邻几何结构关系,不同类近邻样本则彼此远离。在ORL数据库上的实验结果验证了该算法的有效性。

关键词: 等度规映射, 人脸识别, 特征提取, 最大散度差准则

Abstract:

Isometric Projection(IsoP) algorithm aims at preserving the distance among samples at the most, without taking into account the sample class discriminant information. Aiming at this problem, a face recognition algorithm based on Discriminant Isometric Projection(DIsoP) is proposed. The algorithm is based on IsoP and the Maximum Scatter Difference Criterion(MSDC) is introduced to its objective function. Therefore, an optimal objective function is obtained. After being embedded into a low-dimensional subspace, the samples of same class maintain their intrinsic neighbor relations, whereas the neighboring samples of the different class are far form each other. Experimental results on ORL face database demonstrate the effectiveness of the proposed algorithm.

Key words: Isometric Projection(IsoP), face recognition, feature extraction, Maximum Scatter Difference Criterion(MSDC)

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