MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU
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...Several variations of the algorithm have been proposed using different cost functions or adaptive parameters for better performance [21; 22]....
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...MC-RANSAC [49], proposed by Trivedi et....
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References
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...procedure for parameter estimation and filtering of noise or outlier data....
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...This assumed model is then evaluated on the complete dataset and its consistency is determined iteratively until the probability of determining a model with better inliers outrun the current best model falls below a predefined threshold (typically 1%-5%.)....
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"MC-RANSAC: A Pre-processing Model f..." refers methods in this paper
...Therefore, selection of this assumed minimal subset S of the data forms the key evaluation point of this iterative algorithm....
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...As stated above, RANSAC involves a two-step process where the first step deals with optimizing the sampling technique and the second step deals with the verification model process....
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