首页> 外国专利> MODELING METHOD OF AUTOMATIC CHARACTER FACIAL EXPRESSION USING DEEP LEARNING TECHNOLOGY

MODELING METHOD OF AUTOMATIC CHARACTER FACIAL EXPRESSION USING DEEP LEARNING TECHNOLOGY

机译:基于深度学习技术的特征人物面部表情自动建模方法

摘要

The present invention relates to a deep learning based character facial expression generation method. According to an embodiment of the present invention, the deep learning based character facial expression generation method comprises: (a) a step of obtaining a plurality of three-dimensional facial expression data corresponding to a plurality of facial expressions of a specific person; (b) a step of designating a part of the plurality of three-dimensional facial expression data as a basic facial expression model; (c) a deep learning based facial expression modeling step of generating a three-dimensional facial expression model for each of the plurality of three-dimensional facial expression data based on differences from the basic facial expression model; and (d) a step of generating a facial expression of a character corresponding to the specific person according to the three-dimensional facial expression model. According to an embodiment of the present invention, a character capable of automatically acting a facial expression can be made only by photographing a person who makes an expression by using an RGBD camera technique and a deep learning technique.
机译:基于深度学习的角色面部表情生成方法技术领域本发明涉及一种基于深度学习的角色面部表情生成方法。根据本发明的实施例,基于深度学习的人物面部表情生成方法包括:(a)获得与特定人的多个面部表情相对应的多个三维面部表情数据的步骤; (b)指定多个三维面部表情数据的一部分作为基本面部表情模型的步骤; (c)基于深度学习的面部表情建模步骤,其基于与基本面部表情模型的差异为多个三维面部表情数据中的每一个生成三维面部表情模型; (d)根据三维面部表情模型生成与特定人相对应的人物的面部表情的步骤。根据本发明的实施例,仅通过使用RGBD照相机技术和深度学习技术对做出表情的人进行摄影,就可以做出能够自动地进行面部表情的角色。

著录项

  • 公开/公告号KR20200029968A

    专利类型

  • 公开/公告日2020-03-19

    原文格式PDF

  • 申请/专利权人 WYSIWYG STUDIOS CO. LTD.;

    申请/专利号KR20190011545

  • 发明设计人 PARK KWAN WOO;WOO CHANG HEON;

    申请日2019-01-30

  • 分类号G06T17/20;G06K9;G06T13/40;

  • 国家 KR

  • 入库时间 2022-08-21 11:07:33

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