Study of Robust Facial Feature Localization by Modified Active Shape Model

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概要

• 論文の詳細を見る

• This paper proposes a modified Active Shape Model (ASM), which is featured by the following two modules: (1)A flexible method that automatically generates training set and does not require time-consuming manual operations, which are required by the conventional ASM; (2)Two-step fitting that consists of the initial global (rough)fitting for the entire face and the subsequent local (precise)fitting for each facial component, where both fittings are based on ASM. Experiments demonstrate that more accurate location results were obtained by the proposed method than the conventional ASM.

• 一般社団法人電子情報通信学会の論文
• 2013-03-07

著者

• Jun Ohya

  Graduate School Of Global Information And Telecommunication Institute Waseda University

• Li Yan

  Graduate School Of Engineering Tottori University

• Luo Dan

  Graduate School Of Global Information And Telecommunication Studies Waseda University

• Li Yan

  Graduated School of Global Information and Telecommunication Studies, Waseda University

• Luo Dan

  Graduated School of Global Information and Telecommunication Studies, Waseda University

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