{"title":"Research on the improvement of slide projector calibration precision","authors":"Zheng Li, Luo Jun, L. Tao","doi":"10.1109/CINC.2010.5643848","DOIUrl":null,"url":null,"abstract":"The camera calibration and projector calibration are very crucial since the coordinate computation depends on the accuracy of calibration. This calibration procedure consists of camera calibration and projector calibration, done in this order so that the calibrated camera can be used to calibrate the projector. The digital camera is firstly calibrated by the algorithm with 2D direct linear transformation (2D-DLT) and collinear equations. Based on the same calibration model, the calibration precision of projector is lower than that of CCD camera. It is analyzed by the following aspects, such as image and space. For the space point error by paper thickness and distortion, the Z value of space point is compensated through stimulant data. Then the improvement of projector calibration is completed successfully after bundle adjustment and the calculation to the projector parameters again.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computational Intelligence and Natural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINC.2010.5643848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The camera calibration and projector calibration are very crucial since the coordinate computation depends on the accuracy of calibration. This calibration procedure consists of camera calibration and projector calibration, done in this order so that the calibrated camera can be used to calibrate the projector. The digital camera is firstly calibrated by the algorithm with 2D direct linear transformation (2D-DLT) and collinear equations. Based on the same calibration model, the calibration precision of projector is lower than that of CCD camera. It is analyzed by the following aspects, such as image and space. For the space point error by paper thickness and distortion, the Z value of space point is compensated through stimulant data. Then the improvement of projector calibration is completed successfully after bundle adjustment and the calculation to the projector parameters again.
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