Facial video age progression considering expression change

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルCGI 2017 - Proceedings of the 2017 Computer Graphics International Conference
出版社Association for Computing Machinery
ISBN(電子版)9781450352284
DOI
出版ステータスPublished - 2017 6 27
外部発表はい
イベント2017 Computer Graphics International Conference, CGI 2017 - Yokohama, Japan
継続期間: 2017 6 272017 6 30

出版物シリーズ

名前ACM International Conference Proceeding Series
Part F128640

Other

Other2017 Computer Graphics International Conference, CGI 2017
国/地域Japan
CityYokohama
Period17/6/2717/6/30

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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