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利用GRIC测度的匹配数据拟合模型检测算法
引用本文:卢俊,欧小平,滕飞,张保明.利用GRIC测度的匹配数据拟合模型检测算法[J].测绘科学技术学报,2017,34(2).
作者姓名:卢俊  欧小平  滕飞  张保明
作者单位:1. 信息工程大学,河南郑州,450001;2. 31009部队,北京,100088;3. 61243部队,甘肃兰州,730020
基金项目:国家重点基础研究发展计划(973计划)项目
摘    要:影像间的匹配点通常受基本矩阵或单应矩阵模型约束,利用不同的描述模型引导匹配会得到不同的匹配结果,并且将直接影响后续的三维重建结果。引入GRIC测度来检测匹配数据的拟合模型,推导了GRIC测度拟合单应矩阵模型和基本矩阵模型的误差方程。模拟数据和真实影像数据实验表明,GRIC测度比利用误差大小来检测拟合模型更加可靠,可以更有效地剔除误匹配点。

关 键 词:GRIC测度  核线几何  基本矩阵  单应矩阵  模型检测

Fitting Model Detection Algorithm of Matching Data Using GRIC Measure
LU Jun,OU Xiaoping,TENG Fei,ZHANG Baoming.Fitting Model Detection Algorithm of Matching Data Using GRIC Measure[J].Journal of Zhengzhou Institute of Surveying and Mapping,2017,34(2).
Authors:LU Jun  OU Xiaoping  TENG Fei  ZHANG Baoming
Abstract:Matching points between two images usually conform to the constraint described by fundamental matrix or homography matrix model.Using different models to guide matching may lead to different matching results and directly affect the results of the follow-up of three-dimensional reconstruction.GRIC Measure is introduced to detect the fitting model of matching data,and the error equations of homography matrix model and fundamental matrix model in GRIC Measure are derived.Experimental results of both simulation data and real images data show that using GRIC Measure is more reliable than the magnitude of error to detect the fitting model,and can eliminate the false matching points more effectively.
Keywords:GRIC(Geometric Robust Information Criterion) Measure  epipolar geometry  fundamental matrix  homography matrix  model detection
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