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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Fast Matching Method of UAV Aerial Photography Enhanced Low Illumination Image
International Journal of Aerospace Engineering, 2022 Aiming at the problems of insufficient image contrast in three-dimensional reconstruction of UAV in low illumination environment and the unstable iteration times of the RANSAC algorithm in the feature matching process, real-time matching method of UAV ...
Wenyao Li +6 more
doaj +1 more source
Clique descriptor of affine invariant regions for robust wide baseline image matching [PDF]
, 2010 Assuming that the image distortion between corresponding regions of a stereo pair of images with wide baseline can be approximated as an affine transformation if the regions are reasonably small, recent image matching algorithms have focused on affine ...
Tjahjadi, Tardi, Shin, Dongjoe
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Robust extraction of image correspondences exploiting the image scene geometry and approximate camera orientation [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Image-based modeling techniques are an important tool for producing 3D models in a practical and cost effective manner. Accurate image-based models can be created as long as one can retrieve precise image calibration and orientation information which is ...
B. Alsadik +4 more
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DENSE 3D POINT CLOUD GENERATION FROM UAV IMAGES FROM IMAGE MATCHING AND GLOBAL OPTIMAZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 3D spatial information from unmanned aerial vehicles (UAV) images is usually provided in the form of 3D point clouds. For various UAV applications, it is important to generate dense 3D point clouds automatically from over the entire extent of UAV images.
S. Rhee, T. Kim
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Intelligent Matching Method for Heterogeneous Remote Sensing Images Based on Style Transfer
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Intelligent matching of heterogeneous remote sensing images is a common basic problem in the field of intelligent remote sensing image processing. Aiming at the difficulty of matching satellite-aerial remote sensing images, this article proposes an ...
Jiawei Zhao +4 more
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An Improved BM3D Algorithm Based on Image Depth Feature Map and Structural Similarity Block-Matching
Sensors, 2023 We propose an improved BM3D algorithm for block-matching based on UNet denoising network feature maps and structural similarity (SSIM). In response to the traditional BM3D algorithm that directly performs block-matching on a noisy image, without ...
Jia Cao +4 more
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RESEARCH PROGRESS ON FEATURE MATCHING OF SAR AND OPTICAL IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Before obtaining information and identifying ground target from images, image matching is necessary. However, problems of strong pixel noise interference and nonlinear gray scale differences in synthetic aperture radar image still exist. Feature matching
H. Qian, J. W. Yue, M. Chen
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Camera focusing based on fringe pattern matching [PDF]
, 1997 A method of camera focusing based on fringe pattern matching is presented. In the method, the variance of the mismatch function is used as a focus measure.
Bryanston-Cross, P., Wang, Zuobin
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PL‐VSCN: Patch‐level vision similarity compares network for image matching
IET Computer Vision, 2021 Image matching plays an important role in various computer vision tasks, such as image retrieval and loop closure detection in Simultaneous Localization and Mapping. The authors propose a discriminative patch‐based image matching method that converts the
Xiong You +4 more
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