{"title":"3D Head Reconstruction Using Multi-camera Stream","authors":"Donghoon Kim, Rozenn Dahyot","doi":"10.1109/IMVIP.2009.35","DOIUrl":null,"url":null,"abstract":"Given information from many cameras, one can hope to get a complete 3D representation of an object. Pintavirooj and Sangworasil exploit this idea and present a system that records sequentially images from multiple view points to reconstruct a 3D shape of a static object of interest [1]. For instance, using a 60 angle of view on the image, they manage to get its accurate 3D reconstruction [1]. Unfortunately, when considering application such as video surveillance, it is not reasonable to expect that 60 cameras will give simultaneous images of a person of interest. However, we can expect that the person will move over time and show sequentially different poses of her/his head to at least one or a few cameras. This article proposes a technique for recovering an accurate 3D shape by combining views recorded at different times.","PeriodicalId":179564,"journal":{"name":"2009 13th International Machine Vision and Image Processing Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 13th International Machine Vision and Image Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMVIP.2009.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Given information from many cameras, one can hope to get a complete 3D representation of an object. Pintavirooj and Sangworasil exploit this idea and present a system that records sequentially images from multiple view points to reconstruct a 3D shape of a static object of interest [1]. For instance, using a 60 angle of view on the image, they manage to get its accurate 3D reconstruction [1]. Unfortunately, when considering application such as video surveillance, it is not reasonable to expect that 60 cameras will give simultaneous images of a person of interest. However, we can expect that the person will move over time and show sequentially different poses of her/his head to at least one or a few cameras. This article proposes a technique for recovering an accurate 3D shape by combining views recorded at different times.