计算机与数字工程2024，Vol.52Issue(1)：233-239,7.DOI:10.3969/j.issn.1672-9722.2024.01.039
一种改进的视图几何基本矩阵估计法
An Improved Fundamental Matrix Estimation Method for View Geometry
摘要
Abstract
In the multi-view geometry,the estimation of fundamental matrix needs to use accurate corresponding points,but the image noise or light changes will lead to wrong matching and affect the accuracy of the estimation of fundamental matrix.In order to solve this problem,an iterative method based on epipolar constraint gradient is proposed to estimate the fundamental matrix.This method can quickly eliminate the wrong matching points in the matching process of two views in relatively little iteration.Then by adding corresponding point correlation constraints,the optimal set of corresponding points can be obtained to estimate the fundamen-tal matrix.Experiments on different scene figures show that compared with other methods,the proposed method can reduce the error of fundamental matrix by at least 20%.关键词
基本矩阵估计/多视图几何/对极约束/计算机视觉Key words
fundamental matrix estimation/multi-view geometry/epipolar constraint/computer vision分类
信息技术与安全科学引用本文复制引用
夏子山,王韦刚,吴豪..一种改进的视图几何基本矩阵估计法[J].计算机与数字工程,2024,52(1):233-239,7.基金项目
国家自然科学基金项目(编号:61871232,61571233) （编号:61871232,61571233）
射频集成与微组装技术国家地方联合工程实验室开放课题(编号:KFJJ20200103) （编号:KFJJ20200103）
南京邮电大学研究生教改项目(编号:JGKT22_XYB03)资助. （编号:JGKT22_XYB03）
