{"title":"激光条纹剖析仪的校正","authors":"A. McIvor","doi":"10.1109/IM.1999.805338","DOIUrl":null,"url":null,"abstract":"The calibration of a laser stripe profiler consisting of a laser stripe projector camera and a linear motion table is considered. A nonlinear system model is used which accommodates radial distortion in the camera lens. The way in which stripe data is extracted from the camera images lends to a natural formulation of the calibration problem as a nonlinear least squares problem. This can then be solved using standard techniques.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"176 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":"{\"title\":\"Calibration of a laser stripe profiler\",\"authors\":\"A. McIvor\",\"doi\":\"10.1109/IM.1999.805338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The calibration of a laser stripe profiler consisting of a laser stripe projector camera and a linear motion table is considered. A nonlinear system model is used which accommodates radial distortion in the camera lens. The way in which stripe data is extracted from the camera images lends to a natural formulation of the calibration problem as a nonlinear least squares problem. This can then be solved using standard techniques.\",\"PeriodicalId\":110347,\"journal\":{\"name\":\"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)\",\"volume\":\"176 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IM.1999.805338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IM.1999.805338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The calibration of a laser stripe profiler consisting of a laser stripe projector camera and a linear motion table is considered. A nonlinear system model is used which accommodates radial distortion in the camera lens. The way in which stripe data is extracted from the camera images lends to a natural formulation of the calibration problem as a nonlinear least squares problem. This can then be solved using standard techniques.