作者机构：
[刘鹏程] College of Urban and Environmental Science, Central-China Normal University, 152 Luoyu Road, Wuhan 430079, China;[胡晋山] School of Geodesy and Geomatics, Xuzhou Normal University, 101 Shanghai Road, Xuzhou 221116, China;[成晓强; 艾廷华] School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
通讯机构：
College of Urban and Environmental Science, Central-China Normal University, 152 Luoyu Road, China
作者机构：
[Li, Chang; Liu, Pengcheng] Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Yang, Ling] Henan Univ, China Australia Cooperat Res Ctr Geoinformat Anal, Coll Environ & Planning, Kaifeng 475004, Peoples R China.;[Hu, Min] Peoples Liberat Army Commun Command Acad, Wuhan 430010, Peoples R China.;[Hu, Min] China Univ Geosci, Sch Econom & Management, Wuhan 430074, Peoples R China.
通讯机构：
[Li, Chang] H;Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
会议名称：
International Conference on Advanced Measurement and Test (AMT 2010)
会议时间：
MAY 15-16, 2010
会议地点：
Sanya, PEOPLES R CHINA
会议主办单位：
[Li, Chang;Liu, Pengcheng] Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.^[Yang, Ling] Henan Univ, China Australia Cooperat Res Ctr Geoinformat Anal, Coll Environ & Planning, Kaifeng 475004, Peoples R China.^[Hu, Min] Peoples Liberat Army Commun Command Acad, Wuhan 430010, Peoples R China.^[Hu, Min] China Univ Geosci, Sch Econom & Management, Wuhan 430074, Peoples R China.
会议论文集名称：
Key Engineering Materials
关键词：
vanishing point;line clustering;RANSAC;condition adjustment with parameters;error ellipse
摘要：
In close-range digital photogrammetry and computer vision, a major challenge is the automation of 3D reconstruction from 2D-images. And single image calibration is a fundamental task in these areas for research. It is known that camera parameters can be recovered by the vanishing points of three orthogonal directions. However, three reliable and well-distributed vanishing points are not always available. Therefore, how to estimate the error of two vanishing points is very significant for us to analyze the precision of camera calibration. New methods for vanishing point detection and error estimation are presented, which can be illustrated as follows. Firstly, the line clustering, which parallel to object lines and correspond to the vanishing points, are detected based on RANSAC (Random Sample Consensus). Secondly, "condition adjustment with parameters" is utilized to estimate a nonlinear error equation. Thirdly, the error of vanishing point is expressed by error ellipse that is derived by co-factor matrix according to adjustment principle. Finally, experimental results of vanishing points coordinates and their errors are shown and analyzed.
期刊：
Proceedings of the International Conference on E-Business and E-Government, ICEE 2010,2010年:2335-2338
通讯作者：
Zhang, J.(finecho@163.com)
作者机构：
[Liu, Jiping; Zhang, Jianbo] Research Center of Government Geographic Information System, Chinese Academy of Surveying and Mapping, Beijing, China;[Wang, Bei] College of Urban and Environmental Sciences, Hua Zhong Normal University, Wuhan, China;[Zhang, Jianbo] School of Resource and Environmental Science, Wuhan University, Beijing, China
