45 citations · 80 across the 5 of their papers we have counts for
5 papers
SSMB: Self-Supervised Local Feature Detection under Motion Blur
Zhenjun Zhao, Fabio Bellavia, Wenting Wang +6
Keypoint detection under motion blur remains a significant challenge, as blur distorts local image structure and degrades the repeatability of feature localization. Existing approa…
Image Matching Filtering and Refinement by Planes and Beyond
Fabio Bellavia, Zhenjun Zhao, Luca Morelli +1
This paper provides a consistent and extensive evaluation of state-of-the-art filtering and refinement methods on common image matching pipelines. Unlike previous comparisons, the…
Image Matching by Bare Homography
Fabio Bellavia
This paper presents Slime, a novel non-deep image matching framework which models the scene as rough local overlapping planes. This intermediate representation sits in-between the…
HarrisZ: Harris Corner Selection for Next-Gen Image Matching Pipelines
Fabio Bellavia, Dmytro Mishkin
Due to its role in many computer vision tasks, image matching has been subjected to an active investigation by researchers, which has lead to better and more discriminant feature d…
SIFT Matching by Context Exposed
Fabio Bellavia
This paper investigates how to step up local image descriptor matching by exploiting matching context information. Two main contexts are identified, originated respectively from th…