{"title":"Automatic recalibration of an active structured light vision system","authors":"Youfu Li, Shengyong Chen","doi":"10.1109/TRA.2003.808859","DOIUrl":null,"url":null,"abstract":"A structured light vision system using pattern projection is useful for robust reconstruction of three-dimensional objects. One of the major tasks in using such a system is the calibration of the sensing system. This paper presents a new method by which a two-degree-of-freedom structured light system can be automatically recalibrated, if and when the relative pose between the camera and the projector is changed. A distinct advantage of this method is that neither an accurately designed calibration device nor the prior knowledge of the motion of the camera or the scene is required. Several important cues for self-recalibration are explored. The sensitivity analysis shows that high accuracy in-depth value can be achieved with this calibration method. Some experimental results are presented to demonstrate the calibration technique.","PeriodicalId":161449,"journal":{"name":"IEEE Trans. Robotics Autom.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2003-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"112","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Trans. Robotics Autom.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TRA.2003.808859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 112
Abstract
A structured light vision system using pattern projection is useful for robust reconstruction of three-dimensional objects. One of the major tasks in using such a system is the calibration of the sensing system. This paper presents a new method by which a two-degree-of-freedom structured light system can be automatically recalibrated, if and when the relative pose between the camera and the projector is changed. A distinct advantage of this method is that neither an accurately designed calibration device nor the prior knowledge of the motion of the camera or the scene is required. Several important cues for self-recalibration are explored. The sensitivity analysis shows that high accuracy in-depth value can be achieved with this calibration method. Some experimental results are presented to demonstrate the calibration technique.