{"title":"面向三维无标定单目视觉伺服","authors":"Bradley E. Bishop, M. Spong","doi":"10.1109/ROBOT.1998.680748","DOIUrl":null,"url":null,"abstract":"This work is an initial step toward combining control theory with computer vision for the case of uncalibrated monocular (or single-camera) three-dimensional manipulation. We investigate an achievable control goal using a novel image measure and derive a sampled-data control system that results in quick convergence of the end-effector trajectory to a depth-invariant velocity subspace in the camera coordinate frame. We also discuss how this uncalibrated behavior can be used to perform online calibration.","PeriodicalId":272503,"journal":{"name":"Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Toward 3D uncalibrated monocular visual servo\",\"authors\":\"Bradley E. Bishop, M. Spong\",\"doi\":\"10.1109/ROBOT.1998.680748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work is an initial step toward combining control theory with computer vision for the case of uncalibrated monocular (or single-camera) three-dimensional manipulation. We investigate an achievable control goal using a novel image measure and derive a sampled-data control system that results in quick convergence of the end-effector trajectory to a depth-invariant velocity subspace in the camera coordinate frame. We also discuss how this uncalibrated behavior can be used to perform online calibration.\",\"PeriodicalId\":272503,\"journal\":{\"name\":\"Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBOT.1998.680748\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOT.1998.680748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work is an initial step toward combining control theory with computer vision for the case of uncalibrated monocular (or single-camera) three-dimensional manipulation. We investigate an achievable control goal using a novel image measure and derive a sampled-data control system that results in quick convergence of the end-effector trajectory to a depth-invariant velocity subspace in the camera coordinate frame. We also discuss how this uncalibrated behavior can be used to perform online calibration.