Results 101 to 110 of about 30,930 (225)
Journal of Cheminformatics, 2017 An important aspect of chemoinformatics and material-informatics is the usage of machine learning algorithms to build Quantitative Structure Activity Relationship (QSAR) models. The RANdom SAmple Consensus (RANSAC) algorithm is a predictive modeling tool
Omer Kaspi +2 more
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IEEE AccessEstimating the homography matrix between images captured under radically different camera poses and zoom factors is a complex challenge. Traditional methods rely on the Random Sample Consensus (RANSAC) algorithm, which requires pairs of homologous points,
George Nousias +2 more
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Feature Matching via Self-Adjusting Reliable Correspondence Set and Early Termination
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingFeature matching is a fundamental task in remote sensing and 3-D vision. In this article, a new feature matching algorithm is proposed under the random sample consensus (RANSAC) interaction model in which the global RANSAC works on the initial ...
Kuo-Liang Chung, Jui-Che Chang
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SEGMENTAÇÃO DE FACES DE TELHADOS DE EDIFÃCIOS EM DADOS DE VARREDURA A LASER USANDO O MÉTODO RANSAC
Revista Brasileira de Cartografia, 2016 Este trabalho propõe um método para a segmentação dos planos de telhados de edifícios presentes em dados de varredura a LASER, tendo por base técnicas de processamento de imagem e o método RANSAC.
Michelle Sayuri Yano +1 more
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SensorsIndustrial computed tomography (CT) is widely used in the measurement field owing to its advantages such as non-contact and high precision. To obtain accurate size parameters, fitting parameters can be obtained rapidly by processing volume data in the ...
Zhe Wang +4 more
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The VTK Journal, 2009 RANdom SAmple Concensus (RANSAC) is an iterative method to estimate parameters of a model. It assumes that their are inliers in the data which are well explained by the chosen model. We propose a new class for VTK, vtkRANSACPlane, which estimates the best plane in a point set using the RANSAC method.
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International Journal of Applied Earth Observation and Geoinformation, 2022 Wenxia Dai +7 more
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An Improved RANSAC Method for Outlier Detection in OBN Acoustic Positioning
Applied SciencesIn ocean bottom node (OBN) seismic exploration, the precise positioning of OBNs directly affects seismic data quality. However, complex marine environments often introduce intricate outliers into collected acoustic positioning data, which severely ...
Yijun Yang +5 more
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RANSAC-sylinterit puunrungon mallinnuksessa pistepilvidatasta
, 2023 Random Sample Consensus eli RANSAC on satunnaisotoksiin perustuva menetelmä mallin sovittamiseksi havaintodataan niin, että datan sisältämien poikkeavien havaintojen vaikutus muodostuvaan malliin tulee minimoiduksi. RANSAC on laajasti sovellettu ja siitä on kehitetty erilaisia versioita, joista tässä työssä on toteutettu MATLAB-ohjelmistolla seitsemän.
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Are Minimal Radial Distortion Solvers Really Necessary for Relative Pose Estimation? [PDF]
Int J Comput VisKocur V +5 more
europepmc +1 more source