Facial aging simulator by data-drivencomponent-based texture cloning

Daiki Kuwahara, Akinobu Maejima, Shigeo Morishima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Facial aging and rejuvenation simulation is a challenging topic because keeping personal characteristics in every age is difficult problem. In this demonstration, we simulate a facial aging/rejuvenating only from a single photo. Our system alters an input face image to aged face by reconstructing every facial component with face database for target age. An appropriate facial components image are selected by a special similarity measurement between current age and target age to keep personal characteristics asmuch as possible. Our systemsuccessfully generated aged/ rejuvenated faces with age-related features such as spots, wrinkles, and sagging while keeping personal characteristics throughout all ages.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 21st International Conference, MMM 2015, Proceedings
EditorsXiangjian He, Dacheng Tao, Muhammad Abul Hasan, Suhuai Luo, Changsheng Xu, Jie Yang
PublisherSpringer Verlag
Pages295-298
Number of pages4
ISBN (Electronic)9783319144412
DOIs
Publication statusPublished - 2015
Event21st International Conference on MultiMedia Modeling, MMM 2015 - Sydney, Australia
Duration: 2015 Jan 52015 Jan 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8936
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other21st International Conference on MultiMedia Modeling, MMM 2015
CountryAustralia
CitySydney
Period15/1/515/1/7

Keywords

  • Face image synthesis
  • Facial aging simulation
  • SeamlessTexture synthesis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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