{"title":"一种基于相移投影条纹轮廓术的全场三维形状测量算法","authors":"J. Liu, Y. F. Li","doi":"10.1109/ICINFA.2014.6932706","DOIUrl":null,"url":null,"abstract":"In this paper, a whole-field 3D shape measurement algorithm based on phase-shifting projected fringe profilometry is proposed. The proposed method is different from the conventional stereovision-based algorithms and casts the 3D reconstruction problem into a phase-to-point mapping task. A rigorous phase-to-height mathematical model is derived by considering the practical case of tilt angle in the fringe projection process. The projector in the system is not required to be calibrated like a camera, thus allow the model achieve higher accuracy than conventional stereovision model that requires both camera and projector calibration. The proposed method is evaluated using benchmark 3D points, which are obtained from the camera calibration process. The 3D reconstruction experiment demonstrates that the proposed algorithm performs well and achieves reasonably accuracy.","PeriodicalId":427762,"journal":{"name":"2014 IEEE International Conference on Information and Automation (ICIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A whole-field 3D shape measurement algorithm based on phase-shifting projected fringe profilometry\",\"authors\":\"J. Liu, Y. F. Li\",\"doi\":\"10.1109/ICINFA.2014.6932706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a whole-field 3D shape measurement algorithm based on phase-shifting projected fringe profilometry is proposed. The proposed method is different from the conventional stereovision-based algorithms and casts the 3D reconstruction problem into a phase-to-point mapping task. A rigorous phase-to-height mathematical model is derived by considering the practical case of tilt angle in the fringe projection process. The projector in the system is not required to be calibrated like a camera, thus allow the model achieve higher accuracy than conventional stereovision model that requires both camera and projector calibration. The proposed method is evaluated using benchmark 3D points, which are obtained from the camera calibration process. The 3D reconstruction experiment demonstrates that the proposed algorithm performs well and achieves reasonably accuracy.\",\"PeriodicalId\":427762,\"journal\":{\"name\":\"2014 IEEE International Conference on Information and Automation (ICIA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Information and Automation (ICIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2014.6932706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2014.6932706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A whole-field 3D shape measurement algorithm based on phase-shifting projected fringe profilometry
In this paper, a whole-field 3D shape measurement algorithm based on phase-shifting projected fringe profilometry is proposed. The proposed method is different from the conventional stereovision-based algorithms and casts the 3D reconstruction problem into a phase-to-point mapping task. A rigorous phase-to-height mathematical model is derived by considering the practical case of tilt angle in the fringe projection process. The projector in the system is not required to be calibrated like a camera, thus allow the model achieve higher accuracy than conventional stereovision model that requires both camera and projector calibration. The proposed method is evaluated using benchmark 3D points, which are obtained from the camera calibration process. The 3D reconstruction experiment demonstrates that the proposed algorithm performs well and achieves reasonably accuracy.