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An image matching optimization algorithm based on pixel shift clustering RANSAC
Information Sciences, 2021This paper focuses on improving the accuracy of image matching by eliminating the residual mismatches in the matching results of standard RANSAC. Based on pixel shift clustering and RANSAC algorithms, a matching optimization algorithm called pixel shift ...
Shuhua, Peikai Guo, Hai-Rong You
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2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 A novel method for robust estimation, called Graph-Cut RANSAC1, GC-RANSAC in short, is introduced. To separate inliers and outliers, it runs the graph-cut algorithm in the local optimization (LO) step which is applied when a so-far-the-best model is ...
D. Barath, Jiri Matas
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RANSAC-Flow: generic two-stage image alignment [PDF]
European Conference on Computer Vision, 2020 This paper considers the generic problem of dense alignment between two images, whether they be two frames of a video, two widely different views of a scene, two paintings depicting similar content, etc. Whereas each such task is typically addressed with
XI Shen +3 more
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RANSAC-based multi primitive building reconstruction from 3D point clouds
ISPRS Journal of Photogrammetry and Remote Sensing, 2022Jie Shan
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Optimal Randomized RANSAC [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008 A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-specified probability. The solution is found in time that is (i) close to the shortest possible and (ii) superior to any deterministic verification strategy.
Ondrej Chum
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Robust Calibration Approach for Robot Base Coordinate System Based on RANSAC-SVD
IEEE Transactions on Instrumentation and Measurement, 2023Base coordinate system calibration is a critical issue when performing certain tasks in a uniform coordinate system, especially in industrial manipulation.
G. Wang +4 more
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Learning to Find Good Models in RANSAC
Computer Vision and Pattern Recognition, 2022We propose the Model Quality Network, MQ-Net in short, for predicting the quality, e.g. the pose error of essential matrices, of models generated inside RANSAC.
Dániel Baráth +2 more
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Proceedings of the AAAI Conference on Artificial Intelligence, 2015
A homography matrix is used in computer vision field to solve the correspondence problem between a pair of stereo images. RANSAC algorithm is often used to calculate the homography matrix by randomly selecting a set of features iteratively. CS-RANSAC algorithm in this paper converts RANSAC algorithm into two-layers.
Geun Jo +4 more
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A homography matrix is used in computer vision field to solve the correspondence problem between a pair of stereo images. RANSAC algorithm is often used to calculate the homography matrix by randomly selecting a set of features iteratively. CS-RANSAC algorithm in this paper converts RANSAC algorithm into two-layers.
Geun Jo +4 more
openaire +1 more source
SC-RANSAC: Spatial consistency on RANSAC
Multimedia Tools and Applications, 2018The goal of robust parameter estimation is developing a model which can properly fit to data. Parameter estimation of a geometric model, in presence of noise and error, is an important step in many image processing and computer vision applications. As the random sample consensus (RANSAC) algorithm is one of the most well-known algorithms in this field,
Mehran Fotouhi +3 more
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