A GMS-Guided Approach for 2D Feature Correspondence Selection

A GMS-Guided Approach for 2D Feature Correspondence Selection

Feature correspondence selection, which aims to seek as many true matches (i.e., inliers) as possible from a given putative set while minimizing false matches (i.e., outliers), is crucial to many feature-matching based tasks in computer vision. It remains a challenging problem how to deal with putat...

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Bibliographic Details
Main Authors: Qunfang Tang, Jie Yang, Wenjing Jia, Xiangjian He, Qingnian Zhang, Haibo Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Correspondence selection
grid-based motion statistics (GMS)
geometric model
outlier
Online Access:https://ieeexplore.ieee.org/document/9006870/

Internet

https://ieeexplore.ieee.org/document/9006870/

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