[1]张元元,吴晓娟,李秀媛,等.单目平行线约束下的空间点坐标恢复[J].智能系统学报,2010,5(01):24-29.
 ZHANG Yuan-yuan,WU Xiao-juan,LI Xiu-yuan,et al.Extraction of 3D coordinates using parallel lines in monocular images[J].CAAI Transactions on Intelligent Systems,2010,5(01):24-29.
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第5卷
期数:
2010年01期
页码:
24-29
栏目:
出版日期:
2010-02-25

文章信息/Info

Title:
Extraction of 3D coordinates using parallel lines in monocular images
文章编号:
1673-4785(2010)01-0024-06
作者:
张元元1吴晓娟1李秀媛1阮秋琦2
1.山东大学 信息科学与工程学院,山东 济南 250100;
 2.北京交通大学 信息科学研究所,北京 100044
Author(s):
ZHANG Yuan-yuan1 WU Xiao-juan1 LI Xiu-yuan1 RUAN Qiu-qi2
1.School of Information Science and Technology, Shandong University, Ji’nan 250100, China;
2. Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China
关键词:
三维重建单目摄像机平行线约束坐标转换因数坐标恢复
Keywords:
3D reconstruction monocular camera parallel lines constraint coordinate conversion factor coordinates recovery
分类号:
TP391
文献标志码:
A
摘要:
提出一种从单目像机拍摄的二维投影图像中恢复空间点三维坐标的简化算法.假定摄像机与空间中的一对平行线的位置关系已知,同时摄像机坐标系下平行线所在平面中的任意空间点在像平面中的投影也已知,通过射影几何可得图像坐标到目标点三维空间坐标的转换系数,即坐标转换因数,从而估计出三维空间点的坐标.实验中通过对人体行走轨迹进行估计来测试算法性能,结果表明算法简单有效,计算开销小.
Abstract:
A method was proposed to simplify the extraction of 3D coordinates from spatial points in 2D images captured by a monocular camera. Assume that two parallel lines could be known in the image, and also that their relative positions with respect to the video camera were known. In the camera coordinate system, the projection of any spatial point in the plane determined by parallel lines to the image plane of the camera could be measured. By applying the knowledge of projection geometry, a coordinate conversion factor (CCF) for the given point was then calculated; these were used to estimate 3D spatial coordinates. Estimations of the paths of people walking were then done to analyze the effectiveness of this method. Results showed that the proposed algorithm is simple and effective, and has low computational costs.

参考文献/References:

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相似文献/References:

[1]蔡军,陈科宇,张毅.基于Kinect的改进移动机器人视觉SLAM[J].智能系统学报,2018,13(05):734.[doi:10.11992/tis.201705018]
 CAI Jun,CHEN Keyu,ZHANG Yi.Improved V-SLAM for mobile robots based on Kinect[J].CAAI Transactions on Intelligent Systems,2018,13(01):734.[doi:10.11992/tis.201705018]
[2]张元元,吴晓娟,李秀媛,等.平行线约束下的视角无关步态识别算法[J].智能系统学报,2009,4(03):264.
 ZHANG Yuan-yuan,WU Xiao-juan,LI Xiu-yuan,et al.Viewpointindependent gait recognition with parallel line constraints[J].CAAI Transactions on Intelligent Systems,2009,4(01):264.

备注/Memo

备注/Memo:
收稿日期:2008-12-24.
基金项目:国家自然科学基金资助项目(60675024).
通信作者:吴晓娟. E-mail: xiaojwu@sdu.edu.cn.
作者简介:
张元元,男,1984年生,博士研究生,主要研究方向为计算机视觉、图像处理和模式识别等.
吴晓娟,女,1944年生,教授、博士生导师,主要研究方向为智能信息处理、图像处理、模式识别、计算机视觉等.近几年来主持国家自然科学基金、军工、国际合作、教育部、省自然科学基金、省科技攻关等项目20余项,发表学术论文100余篇.
李秀媛,女,1972年生,博士研究生,主要研究方向为无线通信、计算机网络、图像处理等.
阮秋琦,男,1944年生,教授,博士生导师.IEEE高级会员,IEEE北京分会技术委员会主席,中国通信学会会士,中国电子学会会士、理事、学术委员会副主任,中国图像图形学学会理事、北京图像图形学学会副理事长、中国图像图形学学会铁道专业委员会主任委员.主要研究方向为图像处理、计算机视觉等.承担和完成国家级和省部级科研项目50余项,发表学术论文350余篇,出版专著和教材8部.
更新日期/Last Update: 2010-04-06