PatchMatch Filter‐Census: A slanted‐plane stereo matching method for slope modelling application
Image matching is a well‐studied problem in computer vision. Conventional image matching is solved using image feature matching algorithms, and later deep learning techniques are also applied to tackle the problem.
Weiyong Eng, Voonchet Koo, Tiensze Lim
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Enhanced spatial pyramid matching using log-polar-based image subdivision and representation [PDF]
This paper presents a new model for capturing spatial information for object categorization with bag-of-words (BOW). BOW models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has
Zhang, Edmond Yiwen +3 more
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Robust extraction of image correspondences exploiting the image scene geometry and approximate camera orientation [PDF]
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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Matching images with different resolutions [PDF]
In this paper we address the problem of matching two images with two different resolutions: a high-resolution image and a low-resolution one. On the premise that changes in resolution act as a smoothing equivalent to changes in scale, a scale-space representation of the high-resolution image is produced.
Dufournaud, Yves +2 more
openaire +3 more sources
Hausdorff-Distance Enhanced Matching of Scale Invariant Feature Transform Descriptors in Context of Image Querying [PDF]
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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Review of 2D Image Matching Algorithms Based on Deep Learning Features [PDF]
The objective of image matching is to establish correspondences between similar structures across two or more images. This task is fundamental to computer vision, with applications in robotics, remote sensing, and autonomous driving.
HUANG Kaiji, YANG Hua
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Fast Matching Method of UAV Aerial Photography Enhanced Low Illumination Image
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
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Clique descriptor of affine invariant regions for robust wide baseline image matching [PDF]
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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DENSE 3D POINT CLOUD GENERATION FROM UAV IMAGES FROM IMAGE MATCHING AND GLOBAL OPTIMAZATION [PDF]
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
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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