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Ransac C++ source code
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RANSAC is a robust parameter estimation method. Its basic idea is to design an objective function according to the specific problem, then estimate the initial values of the parameters in the function by repeatedly extracting the minimum point set, and use these initial parameters to divide all the data into so-called "inliers" (points that meet the estimation parameters) and "outliers" (points that do not meet the estimation parameters), and finally use all the parameters in reverse "Interior point" of
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