Robust image matching via feature guided Gaussian mixture model

已完结 20 由我发布于 2025/8/13 16:07:46

DOI:10.1109/ICME.2016.7552867
作者：Jiayi Ma, Junjun Jiang, Yuan Gao, Jun Chen, Chengyin Liu
文献类型：期刊论文
补充材料：只需要正文

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：In this paper, we propose a novel feature guided Gaussian mixture model (FG-GMM) for image matching, which typically requires matching two sets of feature points extracted from the given ima

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierNano-sized titanium dioxide exposure induces non-hyperandrogenic polycystic ovarian syndrome in rats by increasing aromatase and apoptosis in granulosa cells