Results 21 to 30 of about 3,994 (183)
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 presented in CVPR ...
Simon Korman, Roee Litman
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Accelerated RANSAC for Accurate Image Registration in Aerial Video Surveillance
IEEE Access, 2021 Compared with ground views and direct overhead views (for orbital satellites), aerial robotics allow for capturing videos from diverse viewpoints and scenes, thus, the content of aerial image is complex and changeable, and aerial video has complex inter ...
Jin Zheng, Wei Peng, Yue Wang, Bo Zhai
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DSAC — Differentiable RANSAC for Camera Localization [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 RANSAC is an important algorithm in robust optimization and a central building block for many computer vision applications. In recent years, traditionally hand-crafted pipelines have been replaced by deep learning pipelines, which can be trained in an end-to-end fashion.
Brachmann, Eric +6 more
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A Novel Remote Sensing Image Registration Algorithm Based on Feature Using ProbNet-RANSAC
Sensors, 2022 Image registration based on feature is a commonly used approach due to its robustness in complex geometric deformation and larger gray difference.
Yunyun Dong +2 more
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Measurement Science Review, 2020 Velocity is an important parameter for fluid flow characteristics in profile logging. Particle tracking velocimetry (PTV) technology is often used to study the flow characteristics of oil wells with low flow velocity and high water cut, and the key to ...
Han Lianfu +5 more
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An Image Stitching Algorithm Based on Improved AKAZE Feature and RANSAC [PDF]
Jisuanji gongcheng, 2021 In view of the low registration accuracy of the traditional image description methods for feature points in the case of complex image pair changes,and the traditional RANSAC algorithm has poor computational stability,this paper proposes an image ...
WU Lushen, CHEN Xiaodu
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IMPROVING THE UAV-DERIVED DSM BY INTRODUCING A MODIFIED RANSAC ALGORITHM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The process of finding correspondence points among the overlapping images is called matching. The matching process is one of the fundamental steps in photogrammetry and computer vision with primarily application in 3D model reconstruction.
B. Salehi, S. Jarahizadeh
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Integration of optimal spatial distributed tie-points in RANSAC-based image registration
European Journal of Remote Sensing, 2020 Feature-based image registration requires the identification of correct tie-points between the image pair. In this paper, an improved outlier method is proposed to find correct matching results of optimal distribution based on RANSAC (RANdom SAmple ...
Sheng Zhang +3 more
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The reliability of RANSAC method when estimating the parameters of geometric object [PDF]
Geodetski Vestnik, 2016 The RANSAC (RANdom SAmple Consensus) is often used to identify points belonging to the objects whose shape can be modeled with geometric primitives. These points, called inliers, are of great interest in some applications but often the goal is also to ...
Tilen Urbančič +2 more
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Randomized RANSAC with T(d,d) test [PDF]
Procedings of the British Machine Vision Conference 2002, 2002 Abstract Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The ransac algorithm is possibly the most widely used robust estimator in the field of computer vision.
Jiri Matas, Ondrej Chum
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