文章基本信息

标题：Conforming identification of the fundamental matrix in image matching problem
本地全文：下载
作者：V.A. Fursov ; A.V. Gavrilov ; Ye.V. Goshin 等
期刊名称：Computer Optics / Компьютерная оптика
印刷版ISSN：0134-2452
电子版ISSN：2412-6179
出版年度：2017
卷号：41
期号：4
页码：559-563
语种：Russian
出版社：Samarskii Natsional'nyi Issledovatel'skii Universitet imeni Akademika S.P. Koroleva,Samara National Research University
摘要：The article considers the conforming identification of the fundamental matrix in the image matching problem. The method consists in the division of the initial overdetermined system into lesser dimensional subsystems. On these subsystems, a set of solutions is obtained, from which a subset of the most conforming solutions is defined. Then, on this subset the resulting solution is deduced. Since these subsystems are formed by all possible combinations of rows in the initial system, this method demonstrates high accuracy and stability, although it is computationally complex. A comparison with the methods of least squares, least absolute deviations, and the RANSAC method is drawn.