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Feature Matching and Position Matching Between Optical and SAR With Local Deep Feature Descriptor
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Image matching between the optical and synthetic aperture radar (SAR) is one of the most fundamental problems for earth observation. In recent years, many researchers have used hand-made descriptors with their expertise to find matches between optical ...
Yun Liao +6 more
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A novel method for SIFT features matching based on feature dimension matching degree [PDF]
MATEC Web of Conferences, 2019 We proposes a method for fast matching SIFT feature points based on SIFT feature descriptor vector element matching. First, we discretize each dimensional feature element into an array address based on a fixed threshold value and store the corresponding ...
Yang Yao +3 more
doaj +3 more sources
Feature instructions improve face-matching accuracy. [PDF]
PLoS ONE, 2018 Identity comparisons of photographs of unfamiliar faces are prone to error but important for applied settings, such as person identification at passport control.
Ahmed M Megreya, Markus Bindemann
doaj +4 more sources
Feature matching and segmentation in motion perception [PDF]
Proceedings of the Royal Society of London. Series B: Biological Sciences, 1999 We examined the role of feature matching in motion perception. The stimulus sequence was constructed from a vertical, 1 cycle deg-1 sinusoidal grating divided into horizontal strips of equal height, where alternate strips moved leftward and rightward. The initial relative phase of adjacent strips was either 0 degree (aligned) or 90 degrees (non-aligned)
Scott-Samuel, NE, Georgeson, Mark A
openaire +6 more sources
FEATURE ANALYSIS FOR MULTI-WINDOW MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Image matching is a practical way to build up the relationship between point pairs. In remote sensing and photogrammetry applications, area-based matching algorithms are usually used under control environment, such as fixing exterior orientation ...
W. C. Chang, L. C. Chen
doaj +4 more sources
LightGlue: Local Feature Matching at Light Speed [PDF]
IEEE International Conference on Computer Vision, 2023 We introduce LightGlue, a deep neural network that learns to match local features across images. We revisit multiple design decisions of SuperGlue, the state of the art in sparse matching, and derive simple but effective improvements.
Philipp Lindenberger +2 more
semanticscholar +1 more source
LoFTR: Detector-Free Local Feature Matching with Transformers [PDF]
Computer Vision and Pattern Recognition, 2021 We present a novel method for local image feature matching. Instead of performing image feature detection, description, and matching sequentially, we propose to first establish pixel-wise dense matches at a coarse level and later refine the good matches ...
Jiaming Sun +4 more
semanticscholar +1 more source
RoMa: Robust Dense Feature Matching [PDF]
Computer Vision and Pattern Recognition, 2023 Feature matching is an important computer vision task that involves estimating correspondences between two images of a 3D scene, and dense methods estimate all such correspondences.
Johan Edstedt +4 more
semanticscholar +1 more source
PATS: Patch Area Transportation with Subdivision for Local Feature Matching [PDF]
Computer Vision and Pattern Recognition, 2023 Local feature matching aims at establishing sparse correspondences between a pair of images. Recently, detector-free methods present generally better performance but are not satisfactory in image pairs with large scale differences.
Junjie Ni +6 more
semanticscholar +1 more source
DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching [PDF]
Expert systems with applications, 2023 Local feature matching between images remains a challenging task, especially in the presence of significant appearance variations, e.g., extreme viewpoint changes.
Tao Xie +4 more
semanticscholar +1 more source