Results 11 to 20 of about 216,940 (284)
DENSE IMAGE MATCHING WITH TWO STEPS OF EXPANSION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Dense image matching is a basic and key point of photogrammetry and computer version. In this paper, we provide a method derived from the seed-and-grow method, whose basic procedure consists of the following: First, the seed and feature points are ...
Z. Zhang, J. He, S. Huang, Y. Duan
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Stereo Dense Image Matching by Adaptive Fusion of Multiple-Window Matching Results [PDF]
Remote Sensing, 2020 Traditional stereo dense image matching (DIM) methods normally predefine a fixed window to compute matching cost, while their performances are limited by the matching window sizes.
Yilong Han +4 more
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TEXTURE-AWARE DENSE IMAGE MATCHING USING TERNARY CENSUS TRANSFORM [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Textureless and geometric discontinuities are major problems in state-of-the-art dense image matching methods, as they can cause visually significant noise and the loss of sharp features.
H. Hu +5 more
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A CASE STUDY ON THROUGH-WATER DENSE IMAGE MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In the last years, the tremendous progress in image processing and camera technology has reactivated the interest in photogrammetrybased surface mapping.
G. Mandlburger, G. Mandlburger
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IMAGE-GUIDED NON-LOCAL DENSE MATCHING WITH THREE-STEPS OPTIMIZATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper introduces a new image-guided non-local dense matching algorithm that focuses on how to solve the following problems: 1) mitigating the influence of vertical parallax to the cost computation in stereo pairs; 2) guaranteeing the performance of ...
X. Huang, Y. Zhang, Z. Yue
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DENSE MULTI-VIEW IMAGE MATCHING FOR DSM GENERATION FROM SATELLITE IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Digital Surface Model (DSM) can be generated from stereo pairs of satellite or aerial images. Among the most state-of-the-art matching algorithms, Semi-Global Matching (SGM) has widely been used for generating DSM from both satellite and aerial images ...
A. Mahphood +3 more
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A dense matching method for remote sensing images fused with CPS denoising
Scientific ReportsDense matching of remote sensing images is crucial for 3D reconstruction. This study proposes an enhanced dense matching method employing the CPS image denoising algorithm, aiming to boost the SGM algorithm's accuracy and efficiency in remote sensing ...
Bo Zhu, Xiao Tan, Houpu Li
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Trainable Regularization in Dense Image Matching Problems
HighTech and Innovation Journal, 2023 This study examines the development of specialized models designed to solve image-matching problems. The purpose of this research is to develop a technique based on energy tensor aggregation for dense image matching. This task is relevant within the framework of computer systems since image comparison makes it possible to solve current problems such as
Vladimir Zh. Kuklin +2 more
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Geometric Image Correspondence Verification by Dense Pixel Matching [PDF]
2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020 This paper addresses the problem of determining dense pixel correspondences between two images and its application to geometric correspondence verification in image retrieval. The main contribution is a geometric correspondence verification approach for re-ranking a shortlist of retrieved database images based on their dense pair-wise matching with the
Melekhov, Iaroslav +5 more
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Binary Adaptive Semi-Global Matching Based on Image Edges [PDF]
, 2015 Image-based modeling and rendering is currently one of the most challenging topics in Computer Vision and Photogrammetry. The key issue here is building a set of dense correspondence points between two images, namely dense matching or stereo matching ...
Bergeron, R. D. +3 more
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