Facial video age progression considering expression change

Shintaro Yamamoto, Pavel A. Savkin, Takuya Kato, Shoichi Furukawa, Shigeo Morishima

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


This paper proposes an age progression method for facial videos. Age is one of the main factors that changes the appearance of the face, due to the associated sagging, spots, and wrinkles. These aging features change in appearance depending on facial expressions. As an example, we see wrinkles appear in the face of the young when smiling, but the shape of wrinkles changes in older faces. Previous work has not considered the temporal changes of the face, using only static images as databases. To solve this problem, we extend the texture synthesis approach to use facial videos as source videos. First, we spatio-temporally align the videos of database to match the sequence of a target video. Then, we synthesize an aging face and apply the temporal changes of the target age to the wrinkles appearing in the facial expression image in the target video. As a result, our method successfully generates expression changes specific to the target age.

Original languageEnglish
Title of host publicationCGI 2017 - Proceedings of the 2017 Computer Graphics International Conference
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450352284
Publication statusPublished - 2017 Jun 27
Externally publishedYes
Event2017 Computer Graphics International Conference, CGI 2017 - Yokohama, Japan
Duration: 2017 Jun 272017 Jun 30

Publication series

NameACM International Conference Proceeding Series
VolumePart F128640


Other2017 Computer Graphics International Conference, CGI 2017


  • Age progression
  • Facial video
  • Video editing

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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