{"title":"Synthesis of facial expressions for semantic coding of videophone sequences","authors":"M. Kampmann, Bruno Nagel","doi":"10.1109/CGI.1998.694304","DOIUrl":null,"url":null,"abstract":"A method for the synthesis of facial expressions for semantic coding of videophone sequences is presented. Firstly, a generic 3D face model is automatically adapted to the eyes, mouth, eyebrows, nose and chin and cheek contours of the individual face in the sequence. Secondly, a synthesis of facial expressions of this individual face is carried out using a model of the human facial muscles. Applying the described algorithms to the videophone sequences Akiyo and Miss America (CIF 10 Hz), the face model is successfully adapted at the beginning of the videophone sequence and facial expressions of the individual faces are synthesized.","PeriodicalId":434370,"journal":{"name":"Proceedings. Computer Graphics International (Cat. No.98EX149)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Computer Graphics International (Cat. No.98EX149)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGI.1998.694304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A method for the synthesis of facial expressions for semantic coding of videophone sequences is presented. Firstly, a generic 3D face model is automatically adapted to the eyes, mouth, eyebrows, nose and chin and cheek contours of the individual face in the sequence. Secondly, a synthesis of facial expressions of this individual face is carried out using a model of the human facial muscles. Applying the described algorithms to the videophone sequences Akiyo and Miss America (CIF 10 Hz), the face model is successfully adapted at the beginning of the videophone sequence and facial expressions of the individual faces are synthesized.
提出了一种用于可视电话序列语义编码的面部表情合成方法。首先,一个通用的3D人脸模型自动适应序列中单个人脸的眼睛、嘴巴、眉毛、鼻子、下巴和脸颊轮廓。其次,利用人体面部肌肉模型对个体面部表情进行合成。将所描述的算法应用于视频电话序列Akiyo和Miss America (CIF 10 Hz),成功地在视频电话序列开始处适应人脸模型,并合成了单个人脸的面部表情。