Facial aging simulator based on patch-based facial texture reconstruction

Akinobu Maejima; Ai Mizokawa; Daiki Kuwahara; Shigeo Morishima

doi:10.1109/ACPR.2013.187

Facial aging simulator based on patch-based facial texture reconstruction

Akinobu Maejima, Ai Mizokawa, Daiki Kuwahara, Shigeo Morishima

School of Advanced Science and Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

We propose a facial aging simulator which can synthesize a photo realistic human aged-face image for criminal investigation. Our aging simulator is based on the patch-based facial texture reconstruction with a wrinkle aging pattern model. The advantage of our method is to synthesize an aged-face image with detailed skin texture such as spots and somberness of facial skin, as well as age-related facial wrinkles without blurs that are derived from lack of accurate pixel-wise alignments as in the linear combination model, while maintaining the identity of the original face.

Original language	English
Pages	732-733
Number of pages	2
DOIs	https://doi.org/10.1109/ACPR.2013.187
Publication status	Published - 2013 Jan 1
Event	2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, Japan Duration: 2013 Nov 5 → 2013 Nov 8

Conference

Conference	2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
Country/Territory	Japan
City	Naha, Okinawa
Period	13/11/5 → 13/11/8

Keywords

Facial aging
Patch-based texture reconstruction
Statistical winkle aging pattern model

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ACPR.2013.187

Cite this

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title = "Facial aging simulator based on patch-based facial texture reconstruction",

abstract = "We propose a facial aging simulator which can synthesize a photo realistic human aged-face image for criminal investigation. Our aging simulator is based on the patch-based facial texture reconstruction with a wrinkle aging pattern model. The advantage of our method is to synthesize an aged-face image with detailed skin texture such as spots and somberness of facial skin, as well as age-related facial wrinkles without blurs that are derived from lack of accurate pixel-wise alignments as in the linear combination model, while maintaining the identity of the original face.",

keywords = "Facial aging, Patch-based texture reconstruction, Statistical winkle aging pattern model",

author = "Akinobu Maejima and Ai Mizokawa and Daiki Kuwahara and Shigeo Morishima",

year = "2013",

month = jan,

day = "1",

doi = "10.1109/ACPR.2013.187",

language = "English",

pages = "732--733",

note = "2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 ; Conference date: 05-11-2013 Through 08-11-2013",

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T1 - Facial aging simulator based on patch-based facial texture reconstruction

AU - Maejima, Akinobu

AU - Mizokawa, Ai

AU - Kuwahara, Daiki

AU - Morishima, Shigeo

PY - 2013/1/1

Y1 - 2013/1/1

N2 - We propose a facial aging simulator which can synthesize a photo realistic human aged-face image for criminal investigation. Our aging simulator is based on the patch-based facial texture reconstruction with a wrinkle aging pattern model. The advantage of our method is to synthesize an aged-face image with detailed skin texture such as spots and somberness of facial skin, as well as age-related facial wrinkles without blurs that are derived from lack of accurate pixel-wise alignments as in the linear combination model, while maintaining the identity of the original face.

AB - We propose a facial aging simulator which can synthesize a photo realistic human aged-face image for criminal investigation. Our aging simulator is based on the patch-based facial texture reconstruction with a wrinkle aging pattern model. The advantage of our method is to synthesize an aged-face image with detailed skin texture such as spots and somberness of facial skin, as well as age-related facial wrinkles without blurs that are derived from lack of accurate pixel-wise alignments as in the linear combination model, while maintaining the identity of the original face.

KW - Facial aging

KW - Patch-based texture reconstruction

KW - Statistical winkle aging pattern model

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M3 - Paper

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T2 - 2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013

Y2 - 5 November 2013 through 8 November 2013

ER -

Facial aging simulator based on patch-based facial texture reconstruction

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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