Results 11 to 20 of about 2,188,827 (291)
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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A new algorithm for minutiae extraction and matching in fingerprint [PDF]
, 2012 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A novel algorithm for fingerprint template formation and matching in automatic fingerprint recognition has been developed.
Noor, Azad
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Geometric feature distributions for shape representation and recognition. [PDF]
, 1994 One of the fundamental problems in computer vision is the identification of objects from their shape. The research reported in this thesis is directed toward the development of a scheme for representing the shape of an object which allows it to be ...
Evans, Alun C
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A Method to Enhance Homogeneous Distribution of Matched Features for Image Matching
International Journal of Environment and Geoinformatics, 2020 Features are distinctive landmarks of an image. There are various feature detection and description algorithms. Many computer vision algorithms require matching of features from two images.
Baran Gulmez +5 more
doaj +1 more source
FEATURE ANALYSIS FOR MULTI-WINDOW MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Image matching is a practical way to build up the relationship between point pairs. In remote sensing and photogrammetry applications, area-based matching algorithms are usually used under control environment, such as fixing exterior orientation ...
W. C. Chang, L. C. Chen
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Learning Geometric Feature Embedding with Transformers for Image Matching
Sensors, 2022 Local feature matching is a part of many large vision tasks. Local feature matching usually consists of three parts: feature detection, description, and matching.
Xiaohu Nan, Lei Ding
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AdaSG: A Lightweight Feature Point Matching Method Using Adaptive Descriptor with GNN for VSLAM
Sensors, 2022 Feature point matching is a key component in visual simultaneous localization and mapping (VSLAM). Recently, the neural network has been employed in the feature point matching to improve matching performance.
Ye Liu +6 more
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Learning to Match Features with Seeded Graph Matching Network [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Accepted by ICCV2021, code to be realeased at https://github.com/vdvchen ...
Hongkai Chen +7 more
openaire +4 more sources
Robust Feature Matching with Spatial Smoothness Constraints
Remote Sensing, 2020 Feature matching is to detect and match corresponding feature points in stereo pairs, which is one of the key techniques in accurate camera orientations.
Xu Huang, Xue Wan, Daifeng Peng
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Hausdorff-Distance Enhanced Matching of Scale Invariant Feature Transform Descriptors in Context of Image Querying [PDF]
, 2012 Reliable and effective matching of visual descriptors is a key step for many vision applications, e.g. image retrieval. In this paper, we propose to integrate the Hausdorff distance matching together with our pairing algorithm, in order to obtain a ...
D. Wilson +3 more
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