MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU


RANSAC is a repeating hypothesize-and-verify procedure for parameter estimation and filtering of noise or outlier data. In the traditional approach, this algorithm is evaluated without any prior information on the set of data points which leads to an increase in the number of iterations and compute time. In this paper, we present a GPU based RANSAC… (More)
DOI: 10.1109/ICACCI.2013.6637380


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