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用于车辆监控系统的单目视觉二维标定新算法
引用本文:王庆峰,张全法,李焕,任朝栋. 用于车辆监控系统的单目视觉二维标定新算法[J]. 中原工学院学报, 2011, 22(3): 50-53. DOI: 10.3969/j.issn.1671-6906.2011.03.012
作者姓名:王庆峰  张全法  李焕  任朝栋
作者单位:郑州大学物理工程学院,郑州,450001
摘    要:为了在基于单目视觉的车辆监控系统中实现快速现场二维标定,提出了一种新的标定算法.该算法通过变量分离简化了路面坐标与图像坐标之间的关系,使得能够利用一元多项式逼近这种关系,并通过求解线性方程组快速地确定它;利用交通标线作为标定参照物,以便获得足够大的标定范围并方便标定操作.实验结果表明,该算法具有可行性.

关 键 词:车辆监控系统  视觉标定  交通标线  坐标变换

New Two-dimensional Monocular Vision Calibration Algorithm for Vehicle Monitoring Systems
WANG Qing-feng,ZHANG Quan-fa,LI Huan,REN Chao-dong. New Two-dimensional Monocular Vision Calibration Algorithm for Vehicle Monitoring Systems[J]. Journal of Zhongyuan Institute of Technology, 2011, 22(3): 50-53. DOI: 10.3969/j.issn.1671-6906.2011.03.012
Authors:WANG Qing-feng  ZHANG Quan-fa  LI Huan  REN Chao-dong
Affiliation:WANG Qing-feng,ZHANG Quan-fa,LI Huan,REN Chao-dong(Zhengzhou University,Zhengzhou 450001,China)
Abstract:To meet the fast on-site two-dimensional calibration requirement of vehicle monitoring systems based on monocular vision,a new calibration algorithm is proposed.This algorithm simplifies the relations between image and road coordinates through variable separation,thus makes possible of using unary multinomials as their appoximating functions and solving linear equations to determine them quickly.It also makes use of traffic markings as reference templates to make operations easy and get calibrated ranges as...
Keywords:vehicle monitoring system  vision calibration  traffic marking  coordinate transformation  
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