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Feature Matching and Position Matching Between Optical and SAR With Local Deep Feature Descriptor [PDF]
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 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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Scene-Aware Feature Matching [PDF]
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Current feature matching methods focus on point-level matching, pursuing better representation learning of individual features, but lacking further understanding of the scene. This results in significant performance degradation when handling challenging scenes such as scenes with large viewpoint and illumination changes.
Xiaoyong Lu +3 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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Local feature matching using deep learning: A survey [PDF]
Information FusionLocal feature matching enjoys wide-ranging applications in the realm of computer vision, encompassing domains such as image retrieval, 3D reconstruction, and object recognition.
Shibiao Xu, Rongtao Xu, Changwei Wang
exaly +2 more sources
Three-dimensional feature matching improves coverage for single-cell proteomics based on ion mobility filtering. [PDF]
Cell Syst, 2022 SUMMARY Single-cell proteomics (scProteomics) promises to advance our understanding of cell functions within complex biological systems. However, a major challenge of current methods is their inability to identify and provide accurate quantitative ...
Woo J +11 more
europepmc +2 more sources
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
doaj +3 more sources