Y. Matsumoto, H. Terasaki, K. Sugimoto, T. Arakawa
{"title":"A portable three-dimensional digitizer","authors":"Y. Matsumoto, H. Terasaki, K. Sugimoto, T. Arakawa","doi":"10.1109/IM.1997.603866","DOIUrl":null,"url":null,"abstract":"A portable three-dimensional digitizer using a monocular camera is presented in this paper. The digitizer automatically acquires the shape of a target object as well as its texture. The digitizer has the following advantages: 1) compact and inexpensive, 2) skill-free 3D image acquisition, and 3) handles a wide range of objects of various materials. The digitizing algorithm is based on the \"Shape-from-Silhouette\" framework, where several novel techniques are embedded as follows. In the silhouette extraction, not only pixel-level subtraction between images but also region-level subtraction are embedded so as to achieve precise extraction. The texture acquisition is treated as a labeling problem in an energy minimization framework, which enables us to get realistic textures with a simple operation. Our experiments showed that the digitizing speed of the digitizer was practical.","PeriodicalId":337843,"journal":{"name":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IM.1997.603866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 47
Abstract
A portable three-dimensional digitizer using a monocular camera is presented in this paper. The digitizer automatically acquires the shape of a target object as well as its texture. The digitizer has the following advantages: 1) compact and inexpensive, 2) skill-free 3D image acquisition, and 3) handles a wide range of objects of various materials. The digitizing algorithm is based on the "Shape-from-Silhouette" framework, where several novel techniques are embedded as follows. In the silhouette extraction, not only pixel-level subtraction between images but also region-level subtraction are embedded so as to achieve precise extraction. The texture acquisition is treated as a labeling problem in an energy minimization framework, which enables us to get realistic textures with a simple operation. Our experiments showed that the digitizing speed of the digitizer was practical.