Gait feature coupling for low-resolution face recognition

X. Y. Ben; M. Y. Jiang; Y. J. Wu; W. X. Meng

doi:10.1049/el.2011.4041

Gait feature coupling for low-resolution face recognition

X. Y. Ben^*
, M. Y. Jiang
, Y. J. Wu
, W. X. Meng

^*Corresponding author for this work

Shandong University
Saint Louis University
School of Electronics and Information Engineering, Harbin Institute of Technology

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

5 Scopus citations

Abstract

A novel low-resolution (LR) face recognition method has been developed by coupling gait features. The proposed kernel-based manifold method is able to couple the nonlinear features of an LR face with gait and map them into a common space to minimise the distance between the two features extracted from the same individual. Experimental results demonstrate the effectiveness of the proposed method.

Original language	English
Pages (from-to)	488-489
Number of pages	2
Journal	Electronics Letters
Volume	48
Issue number	9
DOIs	https://doi.org/10.1049/el.2011.4041
State	Published - 26 Apr 2012
Externally published	Yes

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title = "Gait feature coupling for low-resolution face recognition",

abstract = "A novel low-resolution (LR) face recognition method has been developed by coupling gait features. The proposed kernel-based manifold method is able to couple the nonlinear features of an LR face with gait and map them into a common space to minimise the distance between the two features extracted from the same individual. Experimental results demonstrate the effectiveness of the proposed method.",

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AU - Ben, X. Y.

AU - Jiang, M. Y.

AU - Wu, Y. J.

AU - Meng, W. X.

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Y1 - 2012/4/26

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AB - A novel low-resolution (LR) face recognition method has been developed by coupling gait features. The proposed kernel-based manifold method is able to couple the nonlinear features of an LR face with gait and map them into a common space to minimise the distance between the two features extracted from the same individual. Experimental results demonstrate the effectiveness of the proposed method.

UR - https://www.scopus.com/pages/publications/84860543592

U2 - 10.1049/el.2011.4041

DO - 10.1049/el.2011.4041

M3 - 文章

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SN - 0013-5194

VL - 48

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EP - 489

JO - Electronics Letters

JF - Electronics Letters

IS - 9

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Gait feature coupling for low-resolution face recognition

Abstract

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