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Feature vector field and feature matching
Pattern Recognition, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, F. C., Wang, Z. H., Wang, X. G.
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Locality-Guided Global-Preserving Optimization for Robust Feature Matching
IEEE Transactions on Image Processing, 2022Feature matching is a fundamental problem in many computer vision tasks. This paper proposes a novel effective framework for mismatch removal, named LOcality-guided Global-preserving Optimization (LOGO).
Yifan Xia, Jiayi Ma
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FEATURE GROUP MATCHING: A NOVEL METHOD TO FILTER OUT INCORRECT LOCAL FEATURE MATCHINGS
International Journal of Pattern Recognition and Artificial Intelligence, 2014The importance of finding correct correspondences between two images is the major aspect in problems such as appearance-based robot localization and content-based image retrieval. Local feature matching has become a commonly used method to compare images, despite being highly probable that at least some of the matchings/correspondences it detects are ...
FRONTONI, EMANUELE +2 more
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Line feature matching algorithm
SPIE Proceedings, 2007This paper presents a line feature matching algorithm. Firstly, it extracts the set of line features in the image, and represents an object using attributed relational graph (ARG). By defining relation vectors between the adjacent features, the graph can describe the structural information of an object.
Taisong Jin, Cuihua Li
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End2End Multi-View Feature Matching with Differentiable Pose Optimization
IEEE International Conference on Computer Vision, 2022Erroneous feature matches have severe impact on subsequent camera pose estimation and often require additional, time-costly measures, like RANSAC, for outlier rejection.
Barbara Roessle, M. Nießner
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Robust Feature Matching for Remote Sensing Image Registration via Linear Adaptive Filtering
IEEE Transactions on Geoscience and Remote Sensing, 2021As a fundamental and critical task in feature-based remote sensing image registration, feature matching refers to establishing reliable point correspondences from two images of the same scene.
Xingyu Jiang +6 more
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The Photogrammetric Record, 2015
AbstractThree‐dimensional (3D) feature‐matching techniques, which are essential for progress towards an automated feature‐based procedure, have attracted considerable research attention in both the photogrammetry and computer vision communities. This study introduces a novel matching approach, called RSTG, that comprises four major phases: rotation ...
Tzu‐Yi Chuang, Jen‐Jer Jaw
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AbstractThree‐dimensional (3D) feature‐matching techniques, which are essential for progress towards an automated feature‐based procedure, have attracted considerable research attention in both the photogrammetry and computer vision communities. This study introduces a novel matching approach, called RSTG, that comprises four major phases: rotation ...
Tzu‐Yi Chuang, Jen‐Jer Jaw
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Iterative Feature Matching for Self-Supervised Indoor Depth Estimation
IEEE transactions on circuits and systems for video technology (Print), 2022In this paper, we propose an iterative feature matching framework for self-supervised depth estimation in indoor scenes. Conventional methods usually leverage the structure-from-motion supervision to help the photometric optimization escape from the ...
Yi Wei, Hengkai Guo, Jiwen Lu, Jie Zhou
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Comparison of Feature Detection and Matching Approaches: SIFT and SURF
Global Research and Development JournalsFeature detection and matching are used in image registration, object tracking, object retrieval etc. There are number of approaches used to detect and matching of features as SIFT (Scale Invariant Feature Transform), SURF (Speeded up Robust Feature ...
Darshana Mistry, A. Banerjee
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Robust Feature Matching for Remote Sensing Image Registration via Guided Hyperplane Fitting
IEEE Transactions on Geoscience and Remote Sensing, 2022Feature matching is a fundamental problem in feature-based remote sensing image registration. Due to the ground relief variations and imaging viewpoint changes, remote sensing images often involve local distortions, leading to difficulties in high ...
Guobao Xiao +4 more
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