Aging Simulation of Face Images Based on Super-Resolution

Wei Geng; Yunhong Wang

doi:10.1007/978-3-540-74282-1_104

Aging Simulation of Face Images Based on Super-Resolution

Wei Geng
, Yunhong Wang

School of Computer Science and Engineering

Beihang University

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

One of the major difficulties of face recognition is the aging problem, that is, the performances of most algorithms degrade significantly when the age difference between the test face and the queried face increases. With the idea of simulating age effects on facial images, Several approaches had been developed to handle the aging problem. This paper provides a novel approach of aging simulation based on super-resolution of face images. The texture of target age face is hallucinated to gain simulation outcome. The experimental results show that the proposed algorithm is valid.

Original language	English
Pages (from-to)	930-939
Number of pages	10
Journal	Communications in Computer and Information Science
Volume	2 CCIS
DOIs	https://doi.org/10.1007/978-3-540-74282-1_104
State	Published - 2007
Event	3rd International Conference on Intelligent Computing, ICIC 2007 - Qingdao, China Duration: 21 Aug 2007 → 24 Aug 2007

Keywords

Aging simulation
face hallucination
super-resolution

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10.1007/978-3-540-74282-1_104

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title = "Aging Simulation of Face Images Based on Super-Resolution",

abstract = "One of the major difficulties of face recognition is the aging problem, that is, the performances of most algorithms degrade significantly when the age difference between the test face and the queried face increases. With the idea of simulating age effects on facial images, Several approaches had been developed to handle the aging problem. This paper provides a novel approach of aging simulation based on super-resolution of face images. The texture of target age face is hallucinated to gain simulation outcome. The experimental results show that the proposed algorithm is valid.",

keywords = "Aging simulation, face hallucination, super-resolution",

author = "Wei Geng and Yunhong Wang",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2007.; 3rd International Conference on Intelligent Computing, ICIC 2007 ; Conference date: 21-08-2007 Through 24-08-2007",

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N2 - One of the major difficulties of face recognition is the aging problem, that is, the performances of most algorithms degrade significantly when the age difference between the test face and the queried face increases. With the idea of simulating age effects on facial images, Several approaches had been developed to handle the aging problem. This paper provides a novel approach of aging simulation based on super-resolution of face images. The texture of target age face is hallucinated to gain simulation outcome. The experimental results show that the proposed algorithm is valid.

AB - One of the major difficulties of face recognition is the aging problem, that is, the performances of most algorithms degrade significantly when the age difference between the test face and the queried face increases. With the idea of simulating age effects on facial images, Several approaches had been developed to handle the aging problem. This paper provides a novel approach of aging simulation based on super-resolution of face images. The texture of target age face is hallucinated to gain simulation outcome. The experimental results show that the proposed algorithm is valid.

KW - Aging simulation

KW - face hallucination

KW - super-resolution

UR - https://www.scopus.com/pages/publications/105046422680

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T2 - 3rd International Conference on Intelligent Computing, ICIC 2007

Y2 - 21 August 2007 through 24 August 2007

ER -

Aging Simulation of Face Images Based on Super-Resolution

Abstract

Keywords

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