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

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

4 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 (US)
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 - Apr 26 2012
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/el.2011.4041

Cite this

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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.",

author = "Ben, {X. Y.} and Jiang, {M. Y.} and Wu, {Y. J.} and Meng, {W. X.}",

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AU - Wu, Y. J.

AU - Meng, W. X.

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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.

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Gait feature coupling for low-resolution face recognition

Abstract

ASJC Scopus subject areas

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