AAM fitting using shape parameter distribution

Youhei Shiraishi*, Shinya Fujie, Tetsunori Kobayashi

*この研究の対応する著者

研究成果: Conference contribution

抄録

A novel constraint using shape parameter distribution into the AAM fitting method is proposed. Active appearance models (AAMs) are some of the most popular facial models. AAM-based face tracking delivers accurate alignment results. However, non-face-like shapes can also be estimated by AAMs, unlike by the conventional AAM fitting method, which only minimizes the matching error of the image. This is one of the causes for face tracking performance degradation in AAMs. A constraint using the shape parameter distribution is added in order to solve this problem.

本文言語English
ホスト出版物のタイトルProceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
ページ2238-2242
ページ数5
出版ステータスPublished - 2012
イベント20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest, Romania
継続期間: 2012 8 272012 8 31

出版物シリーズ

名前European Signal Processing Conference
ISSN(印刷版)2219-5491

Conference

Conference20th European Signal Processing Conference, EUSIPCO 2012
国/地域Romania
CityBucharest
Period12/8/2712/8/31

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学

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