|Table of Contents|

New face recognition algorithm based on probabilistic latent semantic analysis

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2016年05期
Page:
594-
Research Field:
Publishing date:

Info

Title:
New face recognition algorithm based on probabilistic latent semantic analysis
Author(s):
Zou Xiuming 12Sun Huaijiang 1Yang Sai 3
1.School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China; 2.School of Computer Science and Technology,Huaiyin Normal University,Huaian 223300,China; 3.School of Electrical Engineering,Nantong Univers
Keywords:
face recognition probabilistic latent semantic analysis bag-of-word models
PACS:
TP391
DOI:
10.14177/j.cnki.32-1397n.2016.40.05.015
Abstract:
A new face recognition algorithm based on the probabilistic latent semantic analysis(PLSA)is proposed.Firstly the bag-of-word model of the face image is contructed.Then the PLSA model is used to get the distribution of the bag-of -word model in the latent topic space as the final semantic features of the face image.Lastly images are classified and recognized by the support vector machine(SVM).Experimental results on the multi-PIE and the face recognition grand challenge(FRGC)datasets show that the method gets higher classification accuracies than the current methods for the face recognition.

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Last Update: 2016-10-30