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作者:

Jiang, Q.-R. (Jiang, Q.-R..) | Yuan, G. (Yuan, G..)

收录:

Scopus

摘要:

Gray Scale Kernel has been recently introduced for image recognition tasks. The kernel is proved to be positive definite and thus can be used in Support Vector Machine (SVM) based recognition [1]. In this paper, Profile Histogram Intersection (PHI) kernels, Detail Histogram Intersection (DHI) kernels and Susan Detail Histogram Intersection (SDHI) kernel function are proposed which based on traditional Gray Scale Kernel. In experiments on classification of face images, our SDHI kernel shows higher classification accuracy than PHI and DHI kernels. © 2010 IEEE.

关键词:

Face recognition; Feature extraction; Histogram intersection kernel; Image histogram; Support vector machines

作者机构:

  • [ 1 ] [Jiang, Q.-R.]College of Computer Science and Technology, BJUT, Beijing, China
  • [ 2 ] [Yuan, G.]College of Computer Science and Technology, BJUT, Beijing, China

通讯作者信息:

  • [Jiang, Q.-R.]College of Computer Science and Technology, BJUT, Beijing, China

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来源 :

ICIME 2010 - 2010 2nd IEEE International Conference on Information Management and Engineering

年份: 2010

卷: 1

页码: 222-225

语种: 英文

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