{"title":"A practical structured light acquisition system for point-based geometry and texture","authors":"F. Sadlo, T. Weyrich, R. Peikert, M. Gross","doi":"10.2312/SPBG/SPBG05/089-098","DOIUrl":null,"url":null,"abstract":"We present a simple and high-quality 3D scanning system based on structured light. It uses the common setup of a video projector, a computer-controlled turntable and a single camera. Geometry is acquired using a combination of gray code and phase-shift projections, and it is stored and processed in a point-based representation. We achieve high accuracy by careful calibration of camera, projector, and turntable axis. In addition, we make use of the projector's calibration and extend it to a calibrated light source, allowing for a simple reconstruction of material properties for each surface point. We alternatively use a Lambertian reflectance model, or fit a Phong reflectance model to the samples under different turntable orientations. The acquisition pipeline is entirely point-based, avoiding the need of triangulation during all processing stages.","PeriodicalId":152934,"journal":{"name":"Proceedings Eurographics/IEEE VGTC Symposium Point-Based Graphics, 2005.","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"100","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eurographics/IEEE VGTC Symposium Point-Based Graphics, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/SPBG/SPBG05/089-098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 100
Abstract
We present a simple and high-quality 3D scanning system based on structured light. It uses the common setup of a video projector, a computer-controlled turntable and a single camera. Geometry is acquired using a combination of gray code and phase-shift projections, and it is stored and processed in a point-based representation. We achieve high accuracy by careful calibration of camera, projector, and turntable axis. In addition, we make use of the projector's calibration and extend it to a calibrated light source, allowing for a simple reconstruction of material properties for each surface point. We alternatively use a Lambertian reflectance model, or fit a Phong reflectance model to the samples under different turntable orientations. The acquisition pipeline is entirely point-based, avoiding the need of triangulation during all processing stages.