The ransac algorithm Matlab achieves the RANSAC algorithm's full name is the random sample consensus (RANSAC). The basic assumption of the RANSAC algorithm is that the sample contains the correct data (inliers, data that can be described by the model) as well as outliers (outliers). The normal range is too far to fit into the data of the mathematical model. That is, the dataset contains noise.

Filename	Size	Update
Ransac_ls	0	2018-02-28
Ransac_ls\ransactest.m	1254	2018-02-28
__MACOSX	0	2018-02-28
__MACOSX\Ransac_ls	0	2018-02-28
__MACOSX\Ransac_ls\._ransactest.m	210	2018-02-28
Ransac_ls\ls.m	300	2018-02-06
__MACOSX\Ransac_ls\._ls.m	266	2018-02-06
Ransac_ls\RandomNData.m	1726	2018-02-06
__MACOSX\Ransac_ls\._RandomNData.m	120	2018-02-06
Ransac_ls\NumInVec.m	357	2018-02-06
__MACOSX\Ransac_ls\._NumInVec.m	120	2018-02-06
Ransac_ls\ls_test.m	276	2018-02-07
__MACOSX\Ransac_ls\._ls_test.m	210	2018-02-07
Ransac_ls\AgreeWithModel.m	1116	2018-02-06
__MACOSX\Ransac_ls\._AgreeWithModel.m	120	2018-02-06

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