Results 21 to 30 of about 8,729 (215)
Evolutionary Optimization for Robust Epipolar-Geometry Estimation and Outlier Detection [PDF]
Algorithms, 2017 In this paper, a robust technique based on a genetic algorithm is proposed for estimating two-view epipolar-geometry of uncalibrated perspective stereo images from putative correspondences containing a high percentage of outliers.
Mozhdeh Shahbazi +2 more
doaj +2 more sources
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 A novel method for robust estimation, called Graph-Cut RANSAC, 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 found. The proposed LO step is conceptually simple, easy to implement, globally optimal and efficient. GC-
Daniel Barath, Jiri Matas
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Automatic RANSAC by Likelihood Maximization
Image Processing On Line, 2022 In computer vision, and particularly in 3D reconstruction from images, it is customary to be faced with regression problems contaminated by outlying data. The standard and efficient method to deal with them is the Random Sample Consensus (RANSAC) algorithm.
Riu, Clément +2 more
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Algoritmo di RANSAC: panoramica, confronti, applicazioni [PDF]
, 2022 La tesi si occupa della presentazione del problema della modellizzazione di dati in presenza di outlier, facendo una panoramica sulle questioni più spinose, presentando l’algoritmo di RANSAC come soluzione, successivamente confrontandolo con l’algoritmo
Zanchettin, Alessio
core
Sample Consensus Fitting of Bivariate Polynomials for Initializing EM-based Modeling of Smooth 3D Surfaces [PDF]
, 2013 This paper presents a method for finding the largest, connected, smooth surface in noisy depth images. The formulation of the fitting in a Sample Consensus way allows the use of RANSAC (or any other similar estimator), and makes the method tolerant ...
Michael Suppa +5 more
core +1 more source
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 presented in CVPR ...
Simon Korman, Roee Litman
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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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E-Jurnal Matematika, 2014 The presence of outliers in observation can result in biased in parameter estimation using ordinary least square (OLS). Robust regression MM-estimator is one of the estimations methods that able to obtain a robust estimator against outliers.
NI PUTU NIA IRFAGUTAMI +2 more
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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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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
doaj +1 more source