{"title":"用单PTZ相机测量三维位姿的平行双目系统","authors":"Rui Wang, Ran Huang, Zi-Hong Li","doi":"10.1109/IST48021.2019.9010458","DOIUrl":null,"url":null,"abstract":"A novel universal parallel binocular (UPB) system by precision linear moving a single PTZ (pan-tilt-zoom) camera is presented here to achieve the accurate pose (position and attitude) measurement in computer vision applications. Unlike traditional parallel binocular system, the optical axes of UPB is not necessarily always perpendicular to its baseline so that it can measure the 3D pose of the object in a wider view. The main sources of error in 3D measurement process using the UPB system are firstly analyzed. The online calibration of intrinsic parameters including the radial lens distortion coefficient of the PTZ camera without any calibration target are then introduced. Moreover, for carrying out the robust PTZ camera online calibration and accurate 3D pose measurement with classic eight-point algorithm, we develop an improved descriptor named as CSCD-SURF(Circular Coordinate Combining Shape-Color Descriptor Under Distortion Based SURF) to extract matching points. Experimental results have been enclosed to show the effectiveness and accuracies of the proposed UPB system.","PeriodicalId":117219,"journal":{"name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"125 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Parallel Binocular System for 3D Pose Measurement by a Single PTZ Camera\",\"authors\":\"Rui Wang, Ran Huang, Zi-Hong Li\",\"doi\":\"10.1109/IST48021.2019.9010458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel universal parallel binocular (UPB) system by precision linear moving a single PTZ (pan-tilt-zoom) camera is presented here to achieve the accurate pose (position and attitude) measurement in computer vision applications. Unlike traditional parallel binocular system, the optical axes of UPB is not necessarily always perpendicular to its baseline so that it can measure the 3D pose of the object in a wider view. The main sources of error in 3D measurement process using the UPB system are firstly analyzed. The online calibration of intrinsic parameters including the radial lens distortion coefficient of the PTZ camera without any calibration target are then introduced. Moreover, for carrying out the robust PTZ camera online calibration and accurate 3D pose measurement with classic eight-point algorithm, we develop an improved descriptor named as CSCD-SURF(Circular Coordinate Combining Shape-Color Descriptor Under Distortion Based SURF) to extract matching points. Experimental results have been enclosed to show the effectiveness and accuracies of the proposed UPB system.\",\"PeriodicalId\":117219,\"journal\":{\"name\":\"2019 IEEE International Conference on Imaging Systems and Techniques (IST)\",\"volume\":\"125 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Imaging Systems and Techniques (IST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IST48021.2019.9010458\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IST48021.2019.9010458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
为了在计算机视觉应用中实现精确的姿态(位置和姿态)测量,提出了一种新型的通用平行双目(UPB)系统,该系统通过对单个PTZ(泛倾斜变焦)相机进行精密线性移动。与传统的平行双目系统不同,UPB的光轴不一定总是垂直于其基线,因此它可以在更宽的视野内测量物体的三维姿态。首先分析了UPB系统在三维测量过程中的主要误差来源。介绍了在没有标定目标的情况下,在线标定PTZ相机径向透镜畸变系数等固有参数的方法。此外,为了使用经典的八点算法实现PTZ相机的鲁棒在线标定和精确的三维位姿测量,我们开发了一种改进的描述子CSCD-SURF(Circular Coordinate combined Shape-Color descriptor Under Distortion Based SURF)来提取匹配点。实验结果显示了所提出的UPB系统的有效性和准确性。
A Parallel Binocular System for 3D Pose Measurement by a Single PTZ Camera
A novel universal parallel binocular (UPB) system by precision linear moving a single PTZ (pan-tilt-zoom) camera is presented here to achieve the accurate pose (position and attitude) measurement in computer vision applications. Unlike traditional parallel binocular system, the optical axes of UPB is not necessarily always perpendicular to its baseline so that it can measure the 3D pose of the object in a wider view. The main sources of error in 3D measurement process using the UPB system are firstly analyzed. The online calibration of intrinsic parameters including the radial lens distortion coefficient of the PTZ camera without any calibration target are then introduced. Moreover, for carrying out the robust PTZ camera online calibration and accurate 3D pose measurement with classic eight-point algorithm, we develop an improved descriptor named as CSCD-SURF(Circular Coordinate Combining Shape-Color Descriptor Under Distortion Based SURF) to extract matching points. Experimental results have been enclosed to show the effectiveness and accuracies of the proposed UPB system.