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Structured Epipolar Matcher for Local Feature Matching [PDF]
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 Local feature matching is challenging due to textureless and repetitive patterns. Existing methods focus on using appearance features and global interaction and matching, while the importance of geometry priors in local feature matching has not been ...
Jiahao Chang, Jiahuan Yu, Zhang, Tianzhu
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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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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
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An Improved ASIFT Image Feature Matching Algorithm Based on POS Information [PDF]
Sensors, 2022 The affine scale-invariant feature transform (ASIFT) algorithm is a feature extraction algorithm with affinity and scale invariance, which is suitable for image feature matching using unmanned aerial vehicles (UAVs).
Junchai Gao, Zhen Sun
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Swin-transformer for weak feature matching [PDF]
Scientific ReportsFeature matching in computer vision is crucial but challenging in weakly textured scenes due to the lack of pattern repetition. We introduce the SwinMatcher feature matching method, aimed at addressing the issues of low matching quantity and poor ...
Yuan Guo, Wenpeng Li, Ping Zhai
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AMatFormer: Efficient Feature Matching via Anchor Matching Transformer [PDF]
IEEE Transactions on Multimedia, 2023 Learning based feature matching methods have been commonly studied in recent years. The core issue for learning feature matching is to how to learn (1) discriminative representations for feature points (or regions) within each intra-image and (2 ...
Bo Jiang +4 more
semanticscholar +3 more sources
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
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LIM: Lightweight Image Local Feature Matching [PDF]
Journal of ImagingImage matching is a fundamental problem in computer vision, serving as a core component in tasks such as visual localization, structure from motion, and SLAM.
Shanquan Ying +3 more
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UFM: Unified feature matching pre-training with multi-modal image assistants. [PDF]
PLoS ONEImage feature matching, a foundational task in computer vision, remains challenging for multimodal image applications, often necessitating intricate training on specific datasets.
Yide Di +6 more
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Horticultural Image Feature Matching Algorithm Based on Improved ORB and LK Optical Flow
Remote Sensing, 2022 To solve the low accuracy of image feature matching in horticultural robot visual navigation, an innovative and effective image feature matching algorithm was proposed combining the improved Oriented FAST and Rotated BRIEF (ORB) and Lucas–Kanade (LK ...
Qinhan Chen +6 more
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