Results 51 to 60 of about 2,993,763 (334)
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching [PDF]
European Conference on Computer Vision, 2022 We tackle the essential task of finding dense visual correspondences between a pair of images. This is a challenging problem due to various factors such as poor texture, repetitive patterns, illumination variation, and motion blur in practical scenarios.
Runyu Mao +4 more
semanticscholar +1 more source
YOLOv3-Based Matching Approach for Roof Region Detection from Drone Images
Remote Sensing, 2021 Due to the large data volume, the UAV image stitching and matching suffers from high computational cost. The traditional feature extraction algorithms—such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Oriented FAST ...
Chia-Cheng Yeh +7 more
doaj +1 more source
XoFTR: Cross-modal Feature Matching Transformer [PDF]
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)We introduce, XoFTR, a cross-modal cross-view method for local feature matching between thermal infrared (TIR) and visible images. Unlike visible images, TIR images are less susceptible to adverse lighting and weather conditions but present difficulties ...
Önder Tuzcuoglu +4 more
semanticscholar +1 more source
SVD-matching using SIFT features
Graphical Models, 2006 The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we discuss here is a version of the SVD-matching proposed by Scott and Longuet-Higgins and later modified by Pilu, that we elaborate in order to cope with large scale variations.
DELPONTE E +3 more
openaire +5 more sources
Image Feature Matching Via Parallax Mapping for Close Range Photogrammetric Application
IEEE Access, 2020 Image feature matching is an important step in close range photogrammetric applications, and implementing a fast, accurate and robust feature-based image matching technique is a challenging task.
Yang Dong, Dazhao Fan, Qiuhe Ma, Song Ji
doaj +1 more source
An Image Classification Method Based on High-order Feature Representation [PDF]
Jisuanji gongcheng, 2016 The traditional high order feature representation methods are based on feature matching,which can cause combination explosion problem.In this case,this paper proposes a novel high-order feature representation method without feature matching.The image is ...
ZHOU Yishu1,LIANG Peng2,ZHANG Haitao1, ZHOU Jianxiong1,LIU Qi1
doaj +1 more source
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask [PDF]
Computer Vision and Pattern Recognition, 2020 Feature warping is a core technique in optical flow estimation; however, the ambiguity caused by occluded areas during warping is a major problem that remains unsolved.
Shengyu Zhao +4 more
semanticscholar +1 more source
Matching Through Features and Features Through Matching
, 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 ...
Sundaramoorthi, Ganesh, Yang, Yanchao
openaire +2 more sources
Robust Matching of Aerial-Ground Images Optimized by Multi-Layer Progressive Feature Alignment Network [PDF]
Jisuanji gongcheng, 2023 Fine 3D models provide the key spatial basic information for smart city construction. However, factors such as perspective changes and occlusion lead to inaccurate edges, holes, and blurry building facade textures in 3D models generated from aerial ...
Huan ZHANG, Tao HUANG, Junjie XU, Chuan XU, Wei YANG
doaj +1 more source
Reliable features matching for humanoid robots [PDF]
2007 7th IEEE-RAS International Conference on Humanoid Robots, 2007 This paper describes a visual feature detector and descriptor scheme designed to address the specific problems of humanoid robots in the tasks of visual odometry, localization, and SLAM (Simultaneous Localization And Mapping). During walking, turning, and squatting movements, the camera of a humanoid robot moves in jerky and sometimes unpredictable way.
PRETTO, ALBERTO +2 more
openaire +2 more sources