Linear transformation model on face image and its application in recognition

Yong Xu; Chong Yang Zhang; Jing Yu Yang

Linear transformation model on face image and its application in recognition

Yong Xu^*
, Chong Yang Zhang
, Jing Yu Yang

^*Corresponding author for this work

Nanjing University of Science and Technology

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Under different illumination conditions, image on an individual may vary dramatically, as a result face recognition becomes more difficult because of this factor. In this paper, a linear transformation model on face image is proposed. The model is feasible, simple and tractable in computing. Moreover, it is very effective to weaken the aftereffect of varying illumination. To illustrate the application on the model, experiments are performed on YaleB and AR face image databases.

Original language	English
Pages (from-to)	846-847+892
Journal	Xitong Fangzhen Xuebao / Journal of System Simulation
Volume	17
Issue number	4
State	Published - Apr 2005
Externally published	Yes

Keywords

Face recognition
Illumination variation
Image processing
Image regulation

Cite this

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title = "Linear transformation model on face image and its application in recognition",

abstract = "Under different illumination conditions, image on an individual may vary dramatically, as a result face recognition becomes more difficult because of this factor. In this paper, a linear transformation model on face image is proposed. The model is feasible, simple and tractable in computing. Moreover, it is very effective to weaken the aftereffect of varying illumination. To illustrate the application on the model, experiments are performed on YaleB and AR face image databases.",

keywords = "Face recognition, Illumination variation, Image processing, Image regulation",

author = "Yong Xu and Zhang, \{Chong Yang\} and Yang, \{Jing Yu\}",

year = "2005",

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language = "英语",

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journal = "Xitong Fangzhen Xuebao / Journal of System Simulation",

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T1 - Linear transformation model on face image and its application in recognition

AU - Xu, Yong

AU - Zhang, Chong Yang

AU - Yang, Jing Yu

PY - 2005/4

Y1 - 2005/4

N2 - Under different illumination conditions, image on an individual may vary dramatically, as a result face recognition becomes more difficult because of this factor. In this paper, a linear transformation model on face image is proposed. The model is feasible, simple and tractable in computing. Moreover, it is very effective to weaken the aftereffect of varying illumination. To illustrate the application on the model, experiments are performed on YaleB and AR face image databases.

AB - Under different illumination conditions, image on an individual may vary dramatically, as a result face recognition becomes more difficult because of this factor. In this paper, a linear transformation model on face image is proposed. The model is feasible, simple and tractable in computing. Moreover, it is very effective to weaken the aftereffect of varying illumination. To illustrate the application on the model, experiments are performed on YaleB and AR face image databases.

KW - Face recognition

KW - Illumination variation

KW - Image processing

KW - Image regulation

UR - https://www.scopus.com/pages/publications/18744382791

M3 - 文章

AN - SCOPUS:18744382791

SN - 1004-731X

VL - 17

SP - 846-847+892

JO - Xitong Fangzhen Xuebao / Journal of System Simulation

JF - Xitong Fangzhen Xuebao / Journal of System Simulation

IS - 4

ER -

Linear transformation model on face image and its application in recognition

Abstract

Keywords

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