{"title":"3D face reconstruction with global and local constraints in double spaces","authors":"Lihua Han, Quan Xiao, Shoujue Wang","doi":"10.1109/M2VIP.2016.7827274","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a new 3D face reconstruction approach to reconstruct the 3D face from a single 2D image with arbitrary pose. The proposed approach enhanced the 3D morphable model by introducing a new local face shape constraint in another space. Then, the face can be constrained in double spaces: the global face shape space and the local face structure space. The advantages of the proposed approach are: 1) it explores the global and local constraints in the double spaces; 2) it reconstructs the 3D face from a single face image with arbitrary pose. The approach is validated on BJUT_3D face database, and the 3D facial expressions are generated on FacewareHouse and FaceScurb database.","PeriodicalId":125468,"journal":{"name":"2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/M2VIP.2016.7827274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we proposed a new 3D face reconstruction approach to reconstruct the 3D face from a single 2D image with arbitrary pose. The proposed approach enhanced the 3D morphable model by introducing a new local face shape constraint in another space. Then, the face can be constrained in double spaces: the global face shape space and the local face structure space. The advantages of the proposed approach are: 1) it explores the global and local constraints in the double spaces; 2) it reconstructs the 3D face from a single face image with arbitrary pose. The approach is validated on BJUT_3D face database, and the 3D facial expressions are generated on FacewareHouse and FaceScurb database.