Facial aging simulation based on super-resolution in tensor space

Fangyuan Jiang; Yunhong Wang

doi:10.1109/ICIP.2008.4712088

Facial aging simulation based on super-resolution in tensor space

Fangyuan Jiang^*
, Yunhong Wang

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Scopus citations

Abstract

The facial change caused by aging progression might significantly degrade the performance of a face recognition system. One major way to deal with this problem is to predict the aging process. The work presented in this paper proposed a framework to simulate the face aging process by means of super-resolution. Considered the nature of multi-modalities in face image set, multi-linear algebra is introduced into the super-resolution method to represent and process the whole image set in tensor space. The simulating results represented in the paper are compared with the ground truth face image of the same people.

Original language	English
Title of host publication	2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages	1648-1651
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2008.4712088
State	Published - 2008
Event	2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States Duration: 12 Oct 2008 → 15 Oct 2008

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2008 IEEE International Conference on Image Processing, ICIP 2008
Country/Territory	United States
City	San Diego, CA
Period	12/10/08 → 15/10/08

Keywords

Aging simulation
Super resolution
Tensor

Access to Document

10.1109/ICIP.2008.4712088

Cite this

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title = "Facial aging simulation based on super-resolution in tensor space",

abstract = "The facial change caused by aging progression might significantly degrade the performance of a face recognition system. One major way to deal with this problem is to predict the aging process. The work presented in this paper proposed a framework to simulate the face aging process by means of super-resolution. Considered the nature of multi-modalities in face image set, multi-linear algebra is introduced into the super-resolution method to represent and process the whole image set in tensor space. The simulating results represented in the paper are compared with the ground truth face image of the same people.",

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author = "Fangyuan Jiang and Yunhong Wang",

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series = "Proceedings - International Conference on Image Processing, ICIP",

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Jiang, F & Wang, Y 2008, Facial aging simulation based on super-resolution in tensor space. in 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings., 4712088, Proceedings - International Conference on Image Processing, ICIP, pp. 1648-1651, 2008 IEEE International Conference on Image Processing, ICIP 2008, San Diego, CA, United States, 12/10/08. https://doi.org/10.1109/ICIP.2008.4712088

Facial aging simulation based on super-resolution in tensor space. / Jiang, Fangyuan; Wang, Yunhong.
2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings. 2008. p. 1648-1651 4712088 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Facial aging simulation based on super-resolution in tensor space

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Keywords

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