Scale‐invariant feature matching based on pairs of feature points

Scale‐invariant feature matching based on pairs of feature points

On the basis of feature points pairing, a scale‐invariant feature matching method is proposed in this study. The distance between two features is used to compute feature pairs' support region size, which is different from the methods using detectors to provide information to find the support re...

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Bibliographic Details
Main Authors: Zhiheng Wang, Zhifei Wang, Hongmin Liu, Zhanqiang Huo
Format: Article
Language:English
Published: Wiley 2015-12-01
Series:IET Computer Vision
Subjects:
scale invariant feature matching
feature point pairing
subregion division method
detector difference-of-Gaussian method
detector fast-Hessian
image transformation
Online Access:https://doi.org/10.1049/iet-cvi.2014.0369

Internet

https://doi.org/10.1049/iet-cvi.2014.0369

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