P. H. Truong, Chang-Woo Park, Minsik Lee, Tae-Yang Lee, Gu-Min Jeong
{"title":"3D facial model reconstruction on mobile devices using cloud","authors":"P. H. Truong, Chang-Woo Park, Minsik Lee, Tae-Yang Lee, Gu-Min Jeong","doi":"10.1109/ICTC.2014.6983339","DOIUrl":null,"url":null,"abstract":"This paper presents a 3D facial model reconstruction from a single frontal face image for mobile devices using cloud. In this approach, we design a cloud to receive frontal facial images to reconstruct a corresponding 3D depth map from clients that can be smartphones, computers or any other Wi-Fi supported handsets through Wi-Fi connection. The depth map and texture are then transferred back to the sending client through the configured Wi-Fi connection. This setting makes applications light-weight, portable and fast-executive to be able to install on limited specification devices. The experimental results show the advantage and accuracy of the designed system.","PeriodicalId":299228,"journal":{"name":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC.2014.6983339","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
This paper presents a 3D facial model reconstruction from a single frontal face image for mobile devices using cloud. In this approach, we design a cloud to receive frontal facial images to reconstruct a corresponding 3D depth map from clients that can be smartphones, computers or any other Wi-Fi supported handsets through Wi-Fi connection. The depth map and texture are then transferred back to the sending client through the configured Wi-Fi connection. This setting makes applications light-weight, portable and fast-executive to be able to install on limited specification devices. The experimental results show the advantage and accuracy of the designed system.