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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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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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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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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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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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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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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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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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