Y. Matsumoto, H. Terasaki, K. Sugimoto, T. Arakawa
{"title":"一种便携式三维数字化仪","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":"{\"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}","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}
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.