Open AccessRANSAC Plane Fitting for VTK
Author(s) -
David Doria
Publication year - 2009
Publication title -
the vtk journal
Language(s) - English
Resource type - Journals
ISSN - 2328-3459
DOI - 10.54294/xxv05c
Subject(s) - ransac , plane (geometry) , set (abstract data type) , point (geometry) , class (philosophy) , computer science , mathematics , artificial intelligence , sample (material) , computer vision , algorithm , geometry , physics , image (mathematics) , thermodynamics , programming language
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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