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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7438-2
Abstract: This paper proposes an adaptive scale-invariant feature matching method based on data clustering, to solve the problem of low robustness of the KD tree matching method caused by SIFT feature noise sensitivity, and our method…
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Keywords:
feature matching;
matching method;
feature;
vocabulary tree ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-90955-8
Abstract: Multimodal image feature matching is a critical technique in computer vision. However, many current methods rely on extensive attention interactions, which can lead to the inclusion of irrelevant information from non-critical regions, introducing noise and…
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Keywords:
multimodal images;
attention;
feature matching;
feature ... See more keywords
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Published in 2024 at "Communications Biology"
DOI: 10.1038/s42003-024-06630-7
Abstract: Understanding how the human brain adapts to varying cognitive demands is crucial in neuroscience. Here, we examined how networks involved in controlled semantic retrieval reconfigure themselves to generate neurocognitive states appropriate to different task contexts.…
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Keywords:
non semantic;
brain;
control;
cognitive control ... See more keywords
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Published in 2024 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2024.2308713
Abstract: ABSTRACT Feature matching is a classic challenge in the computer vision field. In this paper, we propose an innovative graph classification method based on neighborhood motion consistency to eliminate erroneous matches. Specifically, we transform the…
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Keywords:
feature matching;
graph classification;
remote sensing;
motion consistency ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2973723
Abstract: Image feature matching is an important step in close range photogrammetric applications, and implementing a fast, accurate and robust feature-based image matching technique is a challenging task. To solve the problems of traditional image feature…
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Keywords:
close range;
range photogrammetric;
feature;
image ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152539
Abstract: Finding robust and accurate feature matches is a fundamental problem in computer vision. However, incorrect correspondences and suboptimal matching accuracies lead to significant challenges for many real-world applications. In conventional feature matching, corresponding features in…
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Keywords:
feature;
dense feature;
feature matching;
homographic decomposition ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3559989
Abstract: Indoor unmanned aerial vehicles (UAVs) localization faces challenges such as insufficient feature matches, high false match rates, and low accuracy under low-light conditions, viewpoint changes, and occlusions. To address these issues, we propose an adaptive…
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Keywords:
indoor localization;
research improved;
feature matching;
improved stepwise ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3099307
Abstract: Feature matching, which refers to seeking good correspondence between two feature point sets, is a critical prerequisite in many applications of remote sensing and photogrammetry. This work can be viewed as an extension of LSV-ANet.…
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Keywords:
structure;
structure visualization;
feature;
local structure ... See more keywords
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Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3001089
Abstract: As a fundamental and critical task in feature-based remote sensing image registration, feature matching refers to establishing reliable point correspondences from two images of the same scene. In this article, we propose a simple yet…
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Keywords:
feature matching;
image registration;
remote sensing;
feature ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3041270
Abstract: Feature matching is a fundamental problem in feature-based remote sensing image registration. Due to the ground relief variations and imaging viewpoint changes, remote sensing images often involve local distortions, leading to difficulties in high-accuracy image…
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Keywords:
remote sensing;
feature;
hyperplane;
sensing image ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3068185
Abstract: Accurate point matching is widely used, and it is a critical and challenging process in feature-based image registration. To improve feature matching accuracy on putative matches with heavy outliers and similar local structures, an accurate…
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Keywords:
feature matching;
motion;
motion entropy;
relative motion ... See more keywords