Multispectral face recognition based on band-adjusting HOSVD

Hong Fang Yang; Yong Qiang Zhao; Shao Wu Zhang; Wei Di

doi:10.3788/gzxb20103904.0750

Multispectral face recognition based on band-adjusting HOSVD

Hong Fang Yang, Yong Qiang Zhao, Shao Wu Zhang, Wei Di

自动化学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

3 引用（Scopus）

摘要

By analyzing two significant factors, skin physical characteristics and system characteristics, which affect the multispectral face recognition, a novel Band-Adjusting HOSVD(BA-HOSVD) multispectral face recognition algorithm is proposed. The spectral factor is treated separately with the weighted fusion method, which retains more information of the spectrum. Simulation results show that BA-HOSVD can be applied in multispectral face recognition, and it has a better recognition result than the other methods which do not consider the band characteristics.

源语言	英语
页（从-至）	750-754
页数	5
期刊	Guangzi Xuebao/Acta Photonica Sinica
卷	39
期	4
DOI	https://doi.org/10.3788/gzxb20103904.0750
出版状态	已出版 - 4月 2010

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abstract = "By analyzing two significant factors, skin physical characteristics and system characteristics, which affect the multispectral face recognition, a novel Band-Adjusting HOSVD(BA-HOSVD) multispectral face recognition algorithm is proposed. The spectral factor is treated separately with the weighted fusion method, which retains more information of the spectrum. Simulation results show that BA-HOSVD can be applied in multispectral face recognition, and it has a better recognition result than the other methods which do not consider the band characteristics.",

keywords = "Band-adjusting, Face recognition, Multispectrum, Weighted fusion",

author = "Yang, {Hong Fang} and Zhao, {Yong Qiang} and Zhang, {Shao Wu} and Wei Di",

year = "2010",

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doi = "10.3788/gzxb20103904.0750",

language = "英语",

volume = "39",

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AU - Yang, Hong Fang

AU - Zhao, Yong Qiang

AU - Zhang, Shao Wu

AU - Di, Wei

PY - 2010/4

Y1 - 2010/4

N2 - By analyzing two significant factors, skin physical characteristics and system characteristics, which affect the multispectral face recognition, a novel Band-Adjusting HOSVD(BA-HOSVD) multispectral face recognition algorithm is proposed. The spectral factor is treated separately with the weighted fusion method, which retains more information of the spectrum. Simulation results show that BA-HOSVD can be applied in multispectral face recognition, and it has a better recognition result than the other methods which do not consider the band characteristics.

AB - By analyzing two significant factors, skin physical characteristics and system characteristics, which affect the multispectral face recognition, a novel Band-Adjusting HOSVD(BA-HOSVD) multispectral face recognition algorithm is proposed. The spectral factor is treated separately with the weighted fusion method, which retains more information of the spectrum. Simulation results show that BA-HOSVD can be applied in multispectral face recognition, and it has a better recognition result than the other methods which do not consider the band characteristics.

KW - Band-adjusting

KW - Face recognition

KW - Multispectrum

KW - Weighted fusion

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SN - 1004-4213

VL - 39

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EP - 754

JO - Guangzi Xuebao/Acta Photonica Sinica

JF - Guangzi Xuebao/Acta Photonica Sinica

IS - 4

ER -

Multispectral face recognition based on band-adjusting HOSVD

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