T. Fujiwara, Takeshi Nishihara, M. Tominaga, H. Koshimizu, K. Kato, K. Murakami
{"title":"On the detection of feature points of 3D facial image and its application to 3D facial caricature","authors":"T. Fujiwara, Takeshi Nishihara, M. Tominaga, H. Koshimizu, K. Kato, K. Murakami","doi":"10.1109/IM.1999.805381","DOIUrl":null,"url":null,"abstract":"The paper proposes an automated method for extracting 27 feature points from a 3D facial image. It also shows that 3D facial caricaturing can be realized by such a small number of feature points and that these 27 feature points can be extracted automatically. As a result, it was clarified by comparing a 3D caricature of a 3D PICASSO system with that of a famous caricaturist, Mr. Yoshida, that 3D features of the facial image could be utilized to generate a more impressive facial caricature than the 2D version.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IM.1999.805381","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
The paper proposes an automated method for extracting 27 feature points from a 3D facial image. It also shows that 3D facial caricaturing can be realized by such a small number of feature points and that these 27 feature points can be extracted automatically. As a result, it was clarified by comparing a 3D caricature of a 3D PICASSO system with that of a famous caricaturist, Mr. Yoshida, that 3D features of the facial image could be utilized to generate a more impressive facial caricature than the 2D version.