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Improved parameters estimating scheme for E-HMM with application to face recognition
Xue, BD; Xue, WF; Jiang, ZG; Zhang, D; Jain, AK
Source PublicationADVANCES IN BIOMETRICS, PROCEEDINGS
2006
Volume3832Issue:2005Pages:199-205
SubtypeArticle
AbstractThis paper presents a new scheme to initialize and re-estimate Embedded Hidden Markov Models(E-HMM) parameters for face recognition. Firstly, the current samples were assumed to be a subset of the whole training samples, after the training process, the E-HMM parameters and the necessary temporary parameters in the parameter re-estimating process were saved for the possible retraining use. When new training samples were added to the training samples, the saved E-HMM parameters were chosen as the initial model parameter. Then the E-HMM was retrained based on the new samples and the new temporary parameters were obtained. Finally, these temporary parameters were combined with saved temporary parameters to form the final E-HMM parameters for representing one person face. Experiments on ORL databases show the improved method is effective.
KeywordE-hmm
WOS HeadingsScience & Technology ; Technology
Indexed BySCI ; ISTP
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000235768300027
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9226
Collection09年以前成果
Affiliation1.Beihang Univ, Image Proc Ctr, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100088, Peoples R China
Recommended Citation
GB/T 7714
Xue, BD,Xue, WF,Jiang, ZG,et al. Improved parameters estimating scheme for E-HMM with application to face recognition[J]. ADVANCES IN BIOMETRICS, PROCEEDINGS,2006,3832(2005):199-205.
APA Xue, BD,Xue, WF,Jiang, ZG,Zhang, D,&Jain, AK.(2006).Improved parameters estimating scheme for E-HMM with application to face recognition.ADVANCES IN BIOMETRICS, PROCEEDINGS,3832(2005),199-205.
MLA Xue, BD,et al."Improved parameters estimating scheme for E-HMM with application to face recognition".ADVANCES IN BIOMETRICS, PROCEEDINGS 3832.2005(2006):199-205.
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