Results 41 to 50 of about 3,367,886 (347)
Matching Through Features and Features Through Matching
CoRR, 2012 This paper addresses how to construct features for the problem of image correspondence, in particular, the paper addresses how to construct features so as to maintain the right level of invariance versus discriminability. We show that without additional prior knowledge of the 3D scene, the right tradeoff cannot be established in a pre-processing step ...
Ganesh Sundaramoorthi, Yanchao Yang 0001
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Fast Matching of Binary Features [PDF]
2012 Ninth Conference on Computer and Robot Vision, 2012 There has been growing interest in the use of binary-valued features, such as BRIEF, ORB, and BRISK for efficient local feature matching. These binary features have several advantages over vector-based features as they can be faster to compute, more compact to store, and more efficient to compare.
Marius Muja, David G. Lowe
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Adaptive Assignment for Geometry Aware Local Feature Matching [PDF]
Computer Vision and Pattern Recognition, 2022 The detector-free feature matching approaches are currently attracting great attention thanks to their excellent performance. However, these methods still struggle at large-scale and viewpoint variations, due to the geometric inconsistency resulting from
Dihe Huang +7 more
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ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion [PDF]
ACM Multimedia, 2021 We tackle the problem of object completion from point clouds and propose a novel point cloud completion network employing an Asymmetrical Siamese Feature Matching strategy, termed as ASFM-Net.
Yaqi Xia +5 more
semanticscholar +1 more source
BRIFT: A Binary Descriptor for Multi-Modal Image Registration [PDF]
Hangkong bingqi, 2023 Using radiation-variation insensitivity feature transform (RIFT) to calculate feature descriptors and perform feature matching on the maximum index map (MIM) is time-consuming.
Xu Kaikai, Guo Pengcheng, Wang Jingjing
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Feature matching in Ultrasound images
CoRR, 2020 Feature matching is an important technique to identify a single object in different images. It helps machines to construct recognition of a specific object from multiple perspectives. For years, feature matching has been commonly used in various computer vision applications, like traffic surveillance, self-driving, and other systems.
Hang Zhu, Zihao Wang
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FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning [PDF]
IEEE Transactions on Signal Processing, 2022 One of the key challenges in federated learning (FL) is local data distribution heterogeneity across clients, which may cause inconsistent feature spaces across clients.
Rui Ye +5 more
semanticscholar +1 more source
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective [PDF]
, 2022 Despite recent stereo matching networks achieving impressive performance given sufficient training data, they suffer from domain shifts and generalize poorly to unseen domains.
Huang, Lei +12 more
core +1 more source
Matching Algorithm of Statistical Optimization Feature Based on Grid Method
Xibei Gongye Daxue Xuebao, 2019 The matching algorithm based on image feature points is widely used in image retrieval, target detection, identification and other image processing fields.
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Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed [PDF]
Computer Vision and Pattern RecognitionWe present a novel method for efficiently producing semi-dense matches across images. Previous detector-free matcher LoFTR has shown remarkable matching capability in handling large-viewpoint change and texture-poor scenarios but suffers from low ...
Yifan Wang +4 more
semanticscholar +1 more source