DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching [PDF]
Expert systems with applications, 2023 Local feature matching between images remains a challenging task, especially in the presence of significant appearance variations, e.g., extreme viewpoint changes.
Tao Xie +4 more
openalex +3 more sources
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
openalex +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +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
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) consensus representations for feature points across inter-images.
Bo Jiang +4 more
openaire +3 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
doaj +2 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
doaj +2 more sources
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
doaj +2 more sources