首页> 外国专利> IMAGE-BASED FACIAL EXPRESSION EMOTION RECOGNITION SYSTEM USING DUAL DEEP NETWORK AND METHOD THEREOF

IMAGE-BASED FACIAL EXPRESSION EMOTION RECOGNITION SYSTEM USING DUAL DEEP NETWORK AND METHOD THEREOF

机译:基于图像的面部表情情感识别系统,使用双重网络及其方法

摘要

An image-based facial expression emotion recognition system and method using a dual deep network are provided. The method comprises the steps of: detecting a recognition object included in the acquired recognition image information in an image-based facial expression emotion recognition method using a dual deep network, performed by a server; allocating a bounding box to a spatial domain and a temporal domain corresponding to the detected recognition object; pre-processing the region recognition image including the allocated spatial region recognition image and the temporal region recognition image; extracting a feature recognition image including a spatial feature recognition image and a temporal feature recognition image for facial features by recognizing the facial expression of the recognition object from the preprocessed area recognition image; and generating recognition image data by determining a facial expression using the feature recognition image based on standard image data.
机译:提供了一种基于图像的面部表情情感识别系统和使用双层网络的方法。该方法包括以下步骤:检测由服务器执行的双层网络中的基于图像的面部表情情感识别方法中获取的基于图像的面部表情情感识别方法中包括的识别对象;将边界框分配给空间域和对应于检测到的识别对象的时间域;预处理包括分配的空间区域识别图像和时间区域识别图像的区域识别图像;通过识别来自预处理区域识别图像的识别对象的面部表情,提取包括空间特征识别图像的特征识别图像和用于面部特征的时间特征识别图像;并通过基于标准图像数据使用特征识别图像确定面部表情来生成识别图像数据。

著录项

  • 公开/公告号KR20210075886A

    专利类型

  • 公开/公告日2021-06-23

    原文格式PDF

  • 申请/专利权人 경희대학교 산학협력단;

    申请/专利号KR1020200173377

  • 发明设计人 이승룡;서현석;

    申请日2020-12-11

  • 分类号G06K9;G06N3/04;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-24 19:50:19

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