{"title":"跟踪器标定采用四面体网格和三次样条模型的经纱","authors":"C. Borst","doi":"10.1109/VR.2004.79","DOIUrl":null,"url":null,"abstract":"This paper presents a three-level tracker calibration system that greatly reduces errors in tracked position and orientation. The first level computes an error-minimizing rigid body transform that eliminates the need for precise alignment of a tracker base frame. The second corrects for field warp by interpolating correction values stored with vertices in a tetrahedrization of warped space. The third performs an alternative field warp calibration by interpolating corrections in the parameter space of a tricubic spline model of field warp. The system is evaluated for field warp calibration near a passive-haptic panel in both low-warp and high-warp environments. The spline method produces the most accurate results, reducing median position error by over 90% and median orientation error by over 80% when compared to the use of only a rigid body transform.","PeriodicalId":375222,"journal":{"name":"IEEE Virtual Reality 2004","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Tracker calibration using tetrahedral mesh and tricubic spline models of warp\",\"authors\":\"C. Borst\",\"doi\":\"10.1109/VR.2004.79\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a three-level tracker calibration system that greatly reduces errors in tracked position and orientation. The first level computes an error-minimizing rigid body transform that eliminates the need for precise alignment of a tracker base frame. The second corrects for field warp by interpolating correction values stored with vertices in a tetrahedrization of warped space. The third performs an alternative field warp calibration by interpolating corrections in the parameter space of a tricubic spline model of field warp. The system is evaluated for field warp calibration near a passive-haptic panel in both low-warp and high-warp environments. The spline method produces the most accurate results, reducing median position error by over 90% and median orientation error by over 80% when compared to the use of only a rigid body transform.\",\"PeriodicalId\":375222,\"journal\":{\"name\":\"IEEE Virtual Reality 2004\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Virtual Reality 2004\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VR.2004.79\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Virtual Reality 2004","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VR.2004.79","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tracker calibration using tetrahedral mesh and tricubic spline models of warp
This paper presents a three-level tracker calibration system that greatly reduces errors in tracked position and orientation. The first level computes an error-minimizing rigid body transform that eliminates the need for precise alignment of a tracker base frame. The second corrects for field warp by interpolating correction values stored with vertices in a tetrahedrization of warped space. The third performs an alternative field warp calibration by interpolating corrections in the parameter space of a tricubic spline model of field warp. The system is evaluated for field warp calibration near a passive-haptic panel in both low-warp and high-warp environments. The spline method produces the most accurate results, reducing median position error by over 90% and median orientation error by over 80% when compared to the use of only a rigid body transform.