Results 11 to 20 of about 2,993,763 (334)
Robust Line Feature Matching via Point–Line Invariants and Geometric Constraints [PDF]
SensorsLine feature matching is a crucial aspect of computer vision and image processing tasks, attracting significant research attention. Most line matching algorithms predominantly rely on local feature descriptors or deep learning modules, which often suffer
Chenyang Zhang +5 more
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A Fast Dense Feature-Matching Model for Cross-Track Pushbroom Satellite Imagery [PDF]
Sensors, 2018 Feature-based matching can provide high robust correspondences and it is usually invariant to image scale and rotation. Nevertheless, in remote sensing, the robust feature-matching algorithms often require costly computations for matching dense features ...
Wen-Liang Du +3 more
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A survey of feature matching methods
IET Image ProcessingFeature matching plays a crucial role in computer vision, with applications in visual localization, simultaneous localization and mapping (SLAM), image stitching, and more.
Qian Huang +4 more
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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
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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
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
Robust Feature Matching for 3D Point Clouds with Progressive Consistency Voting. [PDF]
Sensors (Basel), 2022 Quan S, Yin K, Ye K, Nan K.
europepmc +3 more sources
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching [PDF]
International Conference on Learning Representations, 2023 Powered by large-scale pre-training, vision foundation models exhibit significant potential in open-world image understanding. However, unlike large language models that excel at directly tackling various language tasks, vision foundation models require ...
Yang Liu +5 more
semanticscholar +1 more source
DKM: Dense Kernelized Feature Matching for Geometry Estimation [PDF]
Computer Vision and Pattern Recognition, 2022 Feature matching is a challenging computer vision task that involves finding correspondences between two images of a 3D scene. In this paper we consider the dense approach instead of the more common sparse paradigm, thus striving to find all ...
Johan Edstedt +3 more
semanticscholar +1 more source
Stereo Matching Network with Multi-Cost Fusion [PDF]
Jisuanji gongcheng, 2022 In stereo matching networks, the feature extraction process is key for improving the accuracy of binocular stereo matching.To extract image feature information, this study combines the characteristics of dense atrous convolution, spatial pyramid pooling,
ZHANG Xiying, WANG Houbo, BIAN Jilong
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