{"title":"3D face matching: An alignment approach using ordered facial surface patterns","authors":"N. Werghi, M. Naqbi","doi":"10.1109/CTIT.2011.6107953","DOIUrl":null,"url":null,"abstract":"In this paper, a novel topological structured pattern, dubbed a spiral facet, is proposed and applied for the encoding and alignment of 3D facial triangular mesh surfaces. After describing the foundation of this representation, we present two direct face alignment methods, that exploit the ordered structure of the spiral facet in addressing the correspondence problem. We study the behavior and the performance of these two methods through experimentation conducted with a subset of a 3D face database. We also showcase the potential of our alignment framework for face recognition.","PeriodicalId":233698,"journal":{"name":"The 2011 International Conference and Workshop on Current Trends in Information Technology (CTIT 11)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2011 International Conference and Workshop on Current Trends in Information Technology (CTIT 11)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTIT.2011.6107953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a novel topological structured pattern, dubbed a spiral facet, is proposed and applied for the encoding and alignment of 3D facial triangular mesh surfaces. After describing the foundation of this representation, we present two direct face alignment methods, that exploit the ordered structure of the spiral facet in addressing the correspondence problem. We study the behavior and the performance of these two methods through experimentation conducted with a subset of a 3D face database. We also showcase the potential of our alignment framework for face recognition.