Introduction - If you have any usage issues, please Google them yourself
It is based on a set of sample data sets containing abnormal data, and the mathematical model parameters are calculated. It was first proposed by Fischler and Bolles 1981. RANSAC is often used in computer vision. For example, in the field of stereo vision, the problem of computing the matching points and basic matrix is solved. The basic assumption of RANSAC algorithm is contained in the sample data (set), can be described by the model data, and data anomalies (outliers), deviation the normal range, can not adapt to the mathematical model of the data. These abnormal data may be due to the error of the measurement, the assumption of error, the calculation error and so on. At the same time, the RANSAC is assumed to be a set of correct data, there is a way to calculate the parameters of the model.